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<?xml version='1.0' encoding='UTF-8'?><rss xmlns:atom="http://www.w3.org/2005/Atom" xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/" xmlns:blogger="http://schemas.google.com/blogger/2008" xmlns:georss="http://www.georss.org/georss" xmlns:gd="http://schemas.google.com/g/2005" xmlns:thr="http://purl.org/syndication/thread/1.0" version="2.0"><channel><atom:id>tag:blogger.com,1999:blog-3882524455347440601</atom:id><lastBuildDate>Thu, 24 Oct 2024 17:07:24 +0000</lastBuildDate><category>physical design</category><category>asic design</category><category>vlsi</category><category>trasistor</category><category>vlsi design</category><category>synopsys</category><category>cadence</category><category>cmos</category><category>EDI</category><category>EDI 11</category><category>cts</category><category>parasitic</category><category>pnr</category><category>power analysis</category><category>timing</category><category>.lib</category><category>20nm</category><category>EDI system</category><category>EDI13.1</category><category>How to</category><category>Leakage Optimization</category><category>buffer</category><category>capacitance</category><category>def</category><category>dynamic power</category><category>how to read spef</category><category>ir drop analysis</category><category>lef</category><category>low power tips</category><category>physical verification</category><category>resistance</category><category>sta</category><category>uncertanity</category><category>8 ways</category><category>Challenges of 20nm IC Design</category><category>EDI 11.1</category><category>Encounter Digital Implementation</category><category>Encounter digital Implementation system</category><category>aocv</category><category>backend questions in vlsi</category><category>capture path</category><category>command</category><category>dbGet</category><category>decap cell</category><category>double patterning</category><category>drc</category><category>eda</category><category>end cap cell</category><category>file formats</category><category>floorplann</category><category>ic compiler</category><category>inverter</category><category>io lib</category><category>latency</category><category>launch path</category><category>leakage</category><category>liberty</category><category>lithography</category><category>lvs</category><category>nldm.</category><category>nwell</category><category>on chip variation</category><category>physical design questions</category><category>pin</category><category>power switch</category><category>primetime</category><category>quick way</category><category>spef</category><category>substrate</category><category>tcl</category><category>timing analysis</category><category>to do</category><category>trasition</category><category>vlsi questions</category><category>well tap cell</category><title>VLSI PHYSICAL DESIGN &amp; VLSI BASIC </title><description>Lets try to learn things in a simple way and in single platform, why to search so many blogs, websites for a single topic or a problem. Dedicated to vlsi learner..</description><link>http://vlsi-physical-design-and-vlsi-basics.blogspot.com/</link><managingEditor>noreply@blogger.com (Anonymous)</managingEditor><generator>Blogger</generator><openSearch:totalResults>13</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>25</openSearch:itemsPerPage><item><guid isPermaLink="false">tag:blogger.com,1999:blog-3882524455347440601.post-9201261296708934871</guid><pubDate>Mon, 27 Jan 2014 19:06:00 +0000</pubDate><atom:updated>2014-01-27T11:06:48.275-08:00</atom:updated><category domain="http://www.blogger.com/atom/ns#">cadence</category><category domain="http://www.blogger.com/atom/ns#">command</category><category domain="http://www.blogger.com/atom/ns#">dbGet</category><category domain="http://www.blogger.com/atom/ns#">EDI 11</category><category domain="http://www.blogger.com/atom/ns#">EDI13.1</category><category domain="http://www.blogger.com/atom/ns#">How to</category><category domain="http://www.blogger.com/atom/ns#">quick way</category><category domain="http://www.blogger.com/atom/ns#">synopsys</category><category domain="http://www.blogger.com/atom/ns#">tcl</category><category domain="http://www.blogger.com/atom/ns#">to do</category><title>Encounter Quick Tip: Finding Available Cell Masters with dbGet</title><description><div dir="ltr" style="text-align: left;" trbidi="on">
<span class="Cadence_CS_BlogDetail_BlogText" id="anormal_12"></span><br />
When you
first start using dbGet, many of your queries branch off the "top"
keyword and then traverse to "insts" or "nets". These searches return a
list of all the instances or nets in the design. But sometimes it's
necessary to query the available cell <i>masters</i> -- some of which may or may not be instantiated.<br />
Common
reasons for needing this are for finding things like well taps, end
caps, antenna diodes and filler cells. You have a hunch what these cells
are called for the library you're working on and you'd like to search
through all of the cell masters currently loaded in the design.<br />
Say
for example you want to tell the tool which cells should be used as
fillers. (Fillers are physical-only instances added after placement to
fill gaps between standard cells to provide standard cell rail and well
continuity). You can have a hunch they're called FILL-"something".
Here's how to use dbGet to find the names of all the cell masters
available that match FILL*:<br />
<br />
<span style="font-family: courier new,courier;">encounter 1&gt; dbGet head.allCells.name FILL*<br />FILL1 FILL16 FILL2 FILL32 FILL4 FILL64 FILL8 </span><br />
<br />
<span class="Cadence_CS_BlogDetail_BlogText" id="anormal_12">You can pass the output directly to setFillerMode, then call addFiller to add the instances to the design: </span><br />
<br />
<span style="font-family: courier new,courier;">encounter 2&gt; setFillerMode -core [dbGet head.allCells.name FILL*]<br />&nbsp;</span><br />
<span style="font-family: courier new,courier;">encounter 3&gt; addFiller</span><br />
<br />
Although
"top" is by far the common dbGet starting point, the "head" pointer
provides a link to technology information like layers, vias and more.
Give it a look next time you're seeking to find technology information
rather than design-specific data. <br />
For more information on dbGet check out this post on <a href="http://www.cadence.com/community/blogs/di/archive/2008/10/16/getting-started-with-dbget.aspx">Getting Started with dbGet</a>. <br />
Hope this helps.<br />
</div>
</description><link>http://vlsi-physical-design-and-vlsi-basics.blogspot.com/2014/01/encounter-quick-tip-finding-available.html</link><author>noreply@blogger.com (Anonymous)</author><thr:total>0</thr:total></item><item><guid isPermaLink="false">tag:blogger.com,1999:blog-3882524455347440601.post-240164869644127044</guid><pubDate>Mon, 27 Jan 2014 18:51:00 +0000</pubDate><atom:updated>2014-01-27T10:52:24.460-08:00</atom:updated><category domain="http://www.blogger.com/atom/ns#">cadence</category><category domain="http://www.blogger.com/atom/ns#">def</category><category domain="http://www.blogger.com/atom/ns#">EDI</category><category domain="http://www.blogger.com/atom/ns#">EDI 11</category><category domain="http://www.blogger.com/atom/ns#">EDI system</category><category domain="http://www.blogger.com/atom/ns#">EDI13.1</category><category domain="http://www.blogger.com/atom/ns#">How to</category><category domain="http://www.blogger.com/atom/ns#">io lib</category><category domain="http://www.blogger.com/atom/ns#">lef</category><category domain="http://www.blogger.com/atom/ns#">pin</category><category domain="http://www.blogger.com/atom/ns#">synopsys</category><title>Additional I/O Pins HOW to GET ...</title><description><div dir="ltr" style="text-align: left;" trbidi="on">
How to get an additional pin to an existing one to have an I/O pin for
the same net on different places. <br />
There is no menu command or text command to do that. You
can just do it by modifying a DEF or Floorplan-File in the following
way (DEF shown):
<br />
<pre>&nbsp;</pre>
<pre>PINS 2 ;
- netout + NET netout + DIRECTION INPUT + USE SIGNAL
+ LAYER Metal2 ( -280 0 ) ( 280 560 )
+ FIXED ( 23100 60000 ) S ;
- <b>netout.extra1</b> + NET netout + DIRECTION INPUT + USE SIGNAL
+ LAYER Metal2 ( -280 0 ) ( 280 560 )
+ FIXED ( 24100 60000 ) S ;
END PINS</pre>
<br />
If bus pins have to be doubled the syntax is the following (the extra1
extension has to be added before the bus number):
<br />
<pre>&nbsp;</pre>
<pre>PINS 2 ;
- netout&lt;0&gt; + NET netout + DIRECTION INPUT + USE SIGNAL
+ LAYER Metal2 ( -280 0 ) ( 280 560 )
+ FIXED ( 23100 60000 ) S ;
- <b>netout.extra1&lt;0&gt;</b> + NET netout + DIRECTION INPUT + USE SIGNAL
+ LAYER Metal2 ( -280 0 ) ( 280 560 )
+ FIXED ( 24100 60000 ) S ;
END PINS</pre>
<br />
Read in the modified DEF and you will see the additional pin.
</div>
</description><link>http://vlsi-physical-design-and-vlsi-basics.blogspot.com/2014/01/additional-io-pins-how-to-get.html</link><author>noreply@blogger.com (Anonymous)</author><thr:total>2</thr:total></item><item><guid isPermaLink="false">tag:blogger.com,1999:blog-3882524455347440601.post-3282490788235125045</guid><pubDate>Mon, 07 Oct 2013 09:11:00 +0000</pubDate><atom:updated>2013-10-07T02:11:43.759-07:00</atom:updated><category domain="http://www.blogger.com/atom/ns#">cadence</category><category domain="http://www.blogger.com/atom/ns#">cts</category><category domain="http://www.blogger.com/atom/ns#">dynamic power</category><category domain="http://www.blogger.com/atom/ns#">EDI</category><category domain="http://www.blogger.com/atom/ns#">floorplann</category><category domain="http://www.blogger.com/atom/ns#">ir drop analysis</category><category domain="http://www.blogger.com/atom/ns#">Leakage Optimization</category><category domain="http://www.blogger.com/atom/ns#">low power tips</category><category domain="http://www.blogger.com/atom/ns#">physical design</category><category domain="http://www.blogger.com/atom/ns#">pnr</category><category domain="http://www.blogger.com/atom/ns#">power analysis</category><category domain="http://www.blogger.com/atom/ns#">power switch</category><category domain="http://www.blogger.com/atom/ns#">synopsys</category><title>5 Tips to Help You Finish Your Low Power Design Tapeout On Time</title><description><div dir="ltr" style="text-align: left;" trbidi="on">
<div style="background-color: white; color: #3f3f3f; font-family: Arial, Helvetica, sans-serif; font-size: 12px;">
So you're about to start your first&nbsp;<span class="adtext" id="adtext_2" style="border-left-color: transparent; border-right-color: transparent; border-style: solid; border-top-color: transparent; border-width: 1px; color: #0000d5; cursor: pointer; display: inline !important; float: none; list-style: none; margin: 0px; padding: 0px; text-decoration: underline;">low power</span>&nbsp;design. Or second, third, or fourth. As with many tapeouts, you know that with today's tight market windows, most likely the project will go off with a sprinting start (architectural planning), followed by an endurance test (designing and implementing), then a final mad dash towards the finish line (signoff closure and tapeout).</div>
<div style="background-color: white; color: #3f3f3f; font-family: Arial, Helvetica, sans-serif; font-size: 12px;">
First, the bad news - given the complexities of today's design requirements and the swiftness in which the technology market moves, the project crunch noted above is still going to happen. The good news? If you're implementing a low power design, there are a few things you could do to reduce last-minute problems.</div>
<div style="background-color: white; color: #3f3f3f; font-family: Arial, Helvetica, sans-serif; font-size: 12px;">
These tips apply mostly to power-domain based designs that use techniques such as power shutoff (PSO), multiple supply voltages (MSV), and dynamic voltage-frequency scaling (DVFS). However, some apply to non-power domain designs too.</div>
<div style="background-color: white; color: #3f3f3f; font-family: Arial, Helvetica, sans-serif; font-size: 12px;">
<b>1. Check your low power library availability!</b>&nbsp;If you are well into the physical optimization stage of your design flow, you're counting on doing always-on net optimization, then realize "uh oh, I have no always-on buffers," that translates to at least 1-2 weeks of schedule delay. Obviously you'd want to check for library requirements early in the project, but sometimes for low power designs the requirements aren't that obvious. So here's a short list of the priorities:</div>
<ul class="unIndentedList" style="background-color: white; color: #3f3f3f; font-family: Arial, Helvetica, sans-serif; font-size: 12px;">
<li>If you are doing an MSV or DVFS design, check for the availability of multiple supply voltage-characterized libraries. Sure, you could use k-factors to extrapolate delay characteristics based on different voltages, but that's a very risky practice due to inaccuracies.</li>
<li>Check for level shifters, isolation cells, power switches (headers of footers, depending on which on you are planning to use), and of course, always-on buffers and state retention cells for PSO designs if you plan on using them.</li>
</ul>
<div style="background-color: white; color: #3f3f3f; font-family: Arial, Helvetica, sans-serif; font-size: 12px;">
<b>2. Plan to use at least RTL simulation vectors for your power analysis.&nbsp;</b>Vector-less power analysis is okay for estimation purposes, but at some point you'll have to switch to using vectors. Now, getting gate-level activity vectors for your design might be a bit hard since that only comes after doing gate-level simulation. But, RTL simulation vectors are typically available much earlier.</div>
<div style="background-color: white; color: #3f3f3f; font-family: Arial, Helvetica, sans-serif; font-size: 12px;">
The old saying "garbage in, garbage out" applies here. The quality of your power analysis is completely dependent on the quality of the activity vectors you are feeding it. If that doesn't scare you enough, think about where this information is used: besides determining whether your design will meet power consumption specs and also fit within the packaging selected for your design, this information is also used as a basis for measuring dynamic and static IR drop, electromigration and other electrical problems that might come back and bite you if not taken care of early.</div>
<div style="background-color: white; color: #3f3f3f; font-family: Arial, Helvetica, sans-serif; font-size: 12px;">
<b><br /></b></div>
<div style="background-color: white; color: #3f3f3f; font-family: Arial, Helvetica, sans-serif; font-size: 12px;">
<b>3. Try to test out your clock trees before finalizing your floorplan.</b>&nbsp;This is helpful especially for power domain based designs. As we know, power domain definitions place restrictions on your floorplan in terms of placement, optimization and other factors. If, for example, your clock tree root starts in a power domain that's physically far away from your PLL, you can be sure that there will be a lot of buffers added in between, which means a much higher latency.</div>
<div style="background-color: white; color: #3f3f3f; font-family: Arial, Helvetica, sans-serif; font-size: 12px;">
Also, clocks that exit one power domain and enter another power domain might be affected by the power domain layout in terms of skew and transition time. So, by doing at least a trial clock tree synthesis run before you finalize your floorplan, you should be able to catch problems like this early on, and fix it before your floorplan is finalized.</div>
<div style="background-color: white; color: #3f3f3f; font-family: Arial, Helvetica, sans-serif; font-size: 12px;">
<b><br /></b></div>
<div style="background-color: white; color: #3f3f3f; font-family: Arial, Helvetica, sans-serif; font-size: 12px;">
<b>4. Don't over-constrain (too much) on IR drop requirements</b>. Let's face it: the reality is we always over-constrain our designs. We over-constrain on timing to leave us some margin towards the signoff stage, and we over-constrain on IR drop so that we'll be able to meet the IR drop requirements of the library even if we take into account some variation between implementation and signoff. The main reason for IR drop requirements is that library cell performance degrades in accordance to IR drop, so too much IR drop may lead to the design not meeting timing even though STA thinks it does.</div>
<div style="background-color: white; color: #3f3f3f; font-family: Arial, Helvetica, sans-serif; font-size: 12px;">
Library providers usually build in a little margin when specifying IR drop requirements, and it's perfectly normal for designers to add another layer of margin to that when implementing. The problem comes when expectations are unrealistic for a given design. For power shutoff designs, power switches usually cause some additional IR drop to that power domain. One way to decrease IR drop is to increase the number of power switch cells, but that's a double-edged sword because additional power switches lead to more area and more leakage power, which will ultimately negate the effect of having power switches in the first place. So, you can see how we could potentially shoot ourselves in the foot if we specify an unrealistic IR drop constraint.</div>
<div style="background-color: white; color: #3f3f3f; font-family: Arial, Helvetica, sans-serif; font-size: 12px;">
<b><br /></b></div>
<div style="background-color: white; color: #3f3f3f; font-family: Arial, Helvetica, sans-serif; font-size: 12px;">
<b>5. Plan out your high fanout always-on nets.&nbsp;</b>Planning out high fanout nets in general is a good practice for any design, but this applies even more to power shutoff designs if they have always-on high-fanout nets (hint - they usually do). Power switch sleep enable nets, SRPG sleep nets, and others would fall into this category. If you are planning to tap from nearby always-on power supplies to power&nbsp;the secondary power pins of the buffers for those nets, it's best that there actually is a nearby always-on power net available.</div>
<div style="background-color: white; color: #3f3f3f; font-family: Arial, Helvetica, sans-serif; font-size: 12px;">
With that said, I hope this has been useful to all the folks out there designing for low power. I'm aware that this is not an all-inclusive list. Would anyone else like to share any pointers on low power implementation? Voice your comment below!</div>
</div>
</description><link>http://vlsi-physical-design-and-vlsi-basics.blogspot.com/2013/10/5-tips-to-help-you-finish-your-low.html</link><author>noreply@blogger.com (Anonymous)</author><thr:total>0</thr:total></item><item><guid isPermaLink="false">tag:blogger.com,1999:blog-3882524455347440601.post-2732605102840653345</guid><pubDate>Sun, 21 Jul 2013 10:44:00 +0000</pubDate><atom:updated>2013-07-21T03:46:08.179-07:00</atom:updated><category domain="http://www.blogger.com/atom/ns#">aocv</category><category domain="http://www.blogger.com/atom/ns#">asic design</category><category domain="http://www.blogger.com/atom/ns#">capture path</category><category domain="http://www.blogger.com/atom/ns#">launch path</category><category domain="http://www.blogger.com/atom/ns#">on chip variation</category><category domain="http://www.blogger.com/atom/ns#">parasitic</category><category domain="http://www.blogger.com/atom/ns#">physical design</category><category domain="http://www.blogger.com/atom/ns#">primetime</category><category domain="http://www.blogger.com/atom/ns#">synopsys</category><category domain="http://www.blogger.com/atom/ns#">vlsi design</category><title>Difference Between Launch and Capture Distances in an AOCV Analysis</title><description><div dir="ltr" style="text-align: left;" trbidi="on">
<div style="background-color: white; font-family: 'Lucida Grande', Verdana, Helvetica, Arial, sans-serif; font-size: 12px; line-height: 20px; margin-top: -5px;">
In a path-based analysis, the distance of a path is the diagonal of the bounding box that encompasses all of the arcs in the path. In a graph-based analysis, an arc can be both launching and capturing. As a result, there are launch and capture distances. Maintaining separate launch and capture distances for arcs in a graph-based analysis vastly improves the accuracy of the results and allows closer correlation between the graph-based and path-based analyses.</div>
<div style="background-color: white; font-family: 'Lucida Grande', Verdana, Helvetica, Arial, sans-serif; font-size: 12px; line-height: 20px; margin-top: -5px;">
<br /></div>
<div style="background-color: white; font-family: 'Lucida Grande', Verdana, Helvetica, Arial, sans-serif; font-size: 12px; line-height: 20px; margin-top: -5px;">
The distinction between launch and capture distances can be best described using an example. In the schematic shown below, the&nbsp;<code style="font-size: 1.2em; line-height: normal;">BUF</code>&nbsp;cell arc is treated as a capture arc. The cells that contribute to the bounding box for the&nbsp;<code style="font-size: 1.2em; line-height: normal;">BUF</code>cell arc are highlighted in green. The launch and capture paths are shown with arrows. Note that the&nbsp;<em>capture</em>&nbsp;path passes through the&nbsp;<code style="font-size: 1.2em; line-height: normal;">BUF</code>&nbsp;cell arc.</div>
<img alt="Capture Schematic?1292864004330" height="165" src="https://solvnet.synopsys.com/retrieve/customer/q_and_a/attached_files/022963/buf-capture.png" style="background-color: white; border: none; color: #4e4e4e; font-family: 'Lucida Grande', Verdana, Helvetica, Arial, sans-serif; font-size: 12px; line-height: 20px;" width="654" /><span style="background-color: white; color: #4e4e4e; font-family: 'Lucida Grande', Verdana, Helvetica, Arial, sans-serif; font-size: 12px; line-height: 20px;"></span><br />
<div style="background-color: white; font-family: 'Lucida Grande', Verdana, Helvetica, Arial, sans-serif; font-size: 12px; line-height: 20px; margin-top: -5px; text-align: center;">
<b>Figure 1:&nbsp;<code style="font-size: 1.2em; line-height: normal;">BUF</code>&nbsp;Cell Arc Treated as a Capture Arc</b></div>
<div style="background-color: white; color: #4e4e4e; font-family: 'Lucida Grande', Verdana, Helvetica, Arial, sans-serif; font-size: 12px; line-height: 20px; margin-top: -5px; text-align: center;">
<br /></div>
<div style="background-color: white; font-family: 'Lucida Grande', Verdana, Helvetica, Arial, sans-serif; font-size: 12px; line-height: 20px; margin-top: -5px;">
In the schematic shown below, the&nbsp;<code style="font-size: 1.2em; line-height: normal;">BUF</code>&nbsp;cell arc is treated as a launch arc. The cells that contribute to the bounding box for the&nbsp;<code style="font-size: 1.2em; line-height: normal;">BUF</code>&nbsp;cell arc are highlighted in red. The launch and capture paths are shown with arrows. Note that the<em>launch</em>&nbsp;path passes through the&nbsp;<code style="font-size: 1.2em; line-height: normal;">BUF</code>&nbsp;cell arc.</div>
<img alt="Launch Schematic?1292864004330" height="165" src="https://solvnet.synopsys.com/retrieve/customer/q_and_a/attached_files/022963/buf-launch.png" style="background-color: white; border: none; color: #4e4e4e; font-family: 'Lucida Grande', Verdana, Helvetica, Arial, sans-serif; font-size: 12px; line-height: 20px;" width="654" /><span style="background-color: white; color: #4e4e4e; font-family: 'Lucida Grande', Verdana, Helvetica, Arial, sans-serif; font-size: 12px; line-height: 20px;"></span><br />
<div style="background-color: white; font-family: 'Lucida Grande', Verdana, Helvetica, Arial, sans-serif; font-size: 12px; line-height: 20px; margin-top: -5px; text-align: center;">
<b>Figure 2:&nbsp;<code style="font-size: 1.2em; line-height: normal;">BUF</code>&nbsp;Cell Arc Treated as a Launch Arc</b></div>
<div style="background-color: white; color: #4e4e4e; font-family: 'Lucida Grande', Verdana, Helvetica, Arial, sans-serif; font-size: 12px; line-height: 20px; margin-top: -5px; text-align: center;">
<br /></div>
<div style="background-color: white; font-family: 'Lucida Grande', Verdana, Helvetica, Arial, sans-serif; font-size: 12px; line-height: 20px; margin-top: -5px;">
You can examine the launch and capture AOCV distances and depths using the&nbsp;<code style="font-size: 1.2em; line-height: normal;">report_aocvm</code>&nbsp;command. For example,</div>
<div style="background-color: white; font-family: 'Lucida Grande', Verdana, Helvetica, Arial, sans-serif; font-size: 12px; line-height: 20px; margin-top: -5px;">
<br /></div>
<pre style="background-color: white; font-size: 12px;">pt_shell&gt; report_aocvm [get_timing_arcs -of U3]</pre>
</div>
</description><link>http://vlsi-physical-design-and-vlsi-basics.blogspot.com/2013/07/difference-between-launch-and-capture.html</link><author>noreply@blogger.com (Anonymous)</author><thr:total>0</thr:total></item><item><guid isPermaLink="false">tag:blogger.com,1999:blog-3882524455347440601.post-706053356770308626</guid><pubDate>Fri, 05 Jul 2013 14:26:00 +0000</pubDate><atom:updated>2013-07-05T07:26:19.644-07:00</atom:updated><category domain="http://www.blogger.com/atom/ns#">8 ways</category><category domain="http://www.blogger.com/atom/ns#">dynamic power</category><category domain="http://www.blogger.com/atom/ns#">EDI</category><category domain="http://www.blogger.com/atom/ns#">EDI 11</category><category domain="http://www.blogger.com/atom/ns#">EDI 11.1</category><category domain="http://www.blogger.com/atom/ns#">EDI system</category><category domain="http://www.blogger.com/atom/ns#">Encounter Digital Implementation</category><category domain="http://www.blogger.com/atom/ns#">Encounter digital Implementation system</category><category domain="http://www.blogger.com/atom/ns#">leakage</category><category domain="http://www.blogger.com/atom/ns#">Leakage Optimization</category><category domain="http://www.blogger.com/atom/ns#">low power tips</category><category domain="http://www.blogger.com/atom/ns#">physical design</category><category domain="http://www.blogger.com/atom/ns#">vlsi design</category><title>8 Ways to Optimize Power Using Encounter Digital Implementation (EDI) System Quick Reference</title><description><h3 style="text-align: justify;">
<span style="font-size: small;"><span style="font-weight: normal;"><span class="Cadence_CS_BlogDetail_BlogText" id="anormal_12">Everyone
knows that the&nbsp;increasing speed and complexity of today's designs
implies a significant increase in power consumption,
which&nbsp;demands&nbsp;better optimization of your design for power. I am sure
lot of us must be scratching our heads over how to achieve this, knowing
that manual power optimization would be hopelessly slow and all too
likely to contain errors. </span></span></span></h3>
<h1 style="text-align: justify;">
<span style="font-size: small;"><span style="font-weight: normal;"><span class="Cadence_CS_BlogDetail_BlogText" id="anormal_12">Here are 8 Top Things you need to know to optimize your design for power using the Encounter Digital Implementation (EDI) System.<br />
<br />
Given
the importance of power usage of ICs at lower&nbsp;and lower technology
nodes,&nbsp;it is necessary to optimize power at various stages in the
flow.&nbsp;This blog post will focus on methods that can be used to reach an
optimal solution using the EDI System in an automated&nbsp;and clearly
defined fashion. It will give clear&nbsp;and concise details on what features
are available within optimization, and how to use them to best reach
the power goals of the design. <br />
<br />
Please read through all of the
information below before making a decision on the right approach or
strategy to take. It is highly dependent on the priority of low power
and what timing, runtime, area and&nbsp;signoff criteria were decided upon in
your design. With the aid of some or all of the techniques described in
this blog it is possible to, depending on the design, vastly reduce
both the leakage&nbsp;and dynamic power consumed by the design.<br />
&nbsp; <span class="Cadence_CS_BlogDetail_BlogText" id="anormal_12"></span><br />
This is a one stop quick reference&nbsp;and not a substitute for reading the full document.<br />
<br />
1)
VT partition uses various heuristics to gather the cells into a
particular partition. Depending on how the cells get placed in a
particular bucket, the design leakage can vary a lot. The first thing is
to ensure that the leakage power view is correctly specified using the "<i>set_power_analysis_mode -view</i>" command. The "<i>reportVtInstCount -leakage</i>" command is a useful check to see how the cells and libraries are partitioned. Always ensure correct partitioning of cells.<br />
<br />
2)
In several designs, manually controlling certain leakage libraries in
the flow might give much better results than the automated partitioning
of cells. If the VT partitioning is not satisfactory, or the
optimization flow is found to use more LVT cells than targeted,
selectively turn off cells of certain libraries particularly in initial
part of the flow i.e. preRoute flow. The user should selectively set the
LVT libraries to "don't use" and run preCts/postCts optimization.
Depending on final timing QOR, another incremental optimization with LVT
cells enabled may be needed.<br />
<br />
3) Depending on the importance of
leakage/dynamic power in the flow, the leakage/dynamic power flow effort
can be set to high or low. <br />
<em>setOptMode -leakagePowerEffort {low|high}</em><i><br /><em>setOptMode -dynamicPowerEffort {low|high}</em></i><br />
If
timing is the first concern, but having somewhat better leakage/dynamic
power is desired, then select low. If leakage/dynamic power is of
utmost importance, use high.<br />
<br />
4) PostRoute Optimization typically
works with all LVT cells enabled. In case of large discrepancy between
preRoute and postRoute timings or if SI timing is much worse than base
timing, postRoute optimization may overuse LVT cells. So it may be
worthwhile experimenting with a two pass optimization, once with LVT
cells disabled, and then with LVT cells enabled.<br />
<br />
5) In order to
do quick PostRoute timing optimization to clean up final violations
without doing physical updates, use the following:<br />
<em>setOptMode -allowOnlyCellSwapping true</em><i><br /><em>optDesign -postRoute&nbsp;</em></i><br />
This
will only do cell swapping to improve timing, without doing physical
updates. This is specifically for timing optimization and will worsen
leakage.<br />
<br />
6) Leakage flows typically have a larger area footprint
than non-leakage flows. This is because EDI trades area with power, as
it uses more HVT cells to fix timing to reduce leakage. This sometimes
necessitates reclaiming any extra area during postRoute Opt to get
better convergence in timing. EDI has an option to turn on area reclaim
postRoute which is hold aware also and will not degrade hold timing.<br />
<i>setOptMode -postRouteAreaReclaim holdAndSetupAware</i><br />
<br />
7) Running standalone Leakage Optimization to do extra leakage reclamation:<br />
<i>optLeakagePower</i><br />
This may be needed if some of the settings have changed or if leakage flows are not being used.<br />
<br />
8)
PreRoute Optimization works with an extra DRC Margin of 0.2 in the
flow. On some designs it is known to result in extra optimization
causing more runtime and worse leakage. The option below is used to
reset this extra margin in DRV fixing:<br />
<i>setOptMode -drcMargin -0.2</i><br />
<br />
Remember
to reset this margin for postRoute optimization to 0, as postRoute
doesn't work with this extra margin of 0.2.&nbsp; Note that the extra
drcMargin is sometimes useful in reducing the SI effects, so by removing
the extra margin, more effort may be needed to fix SI later in the
flow.<br />
I hope these tips help you achieve your power goals of your designs!</span></span></span></h1>
</description><link>http://vlsi-physical-design-and-vlsi-basics.blogspot.com/2013/07/8-ways-to-optimize-power-using.html</link><author>noreply@blogger.com (Anonymous)</author><thr:total>1</thr:total></item><item><guid isPermaLink="false">tag:blogger.com,1999:blog-3882524455347440601.post-2825071711503370550</guid><pubDate>Fri, 05 Jul 2013 14:03:00 +0000</pubDate><atom:updated>2013-07-05T07:03:07.573-07:00</atom:updated><category domain="http://www.blogger.com/atom/ns#">asic design</category><category domain="http://www.blogger.com/atom/ns#">backend questions in vlsi</category><category domain="http://www.blogger.com/atom/ns#">buffer</category><category domain="http://www.blogger.com/atom/ns#">cmos</category><category domain="http://www.blogger.com/atom/ns#">cts</category><category domain="http://www.blogger.com/atom/ns#">drc</category><category domain="http://www.blogger.com/atom/ns#">inverter</category><category domain="http://www.blogger.com/atom/ns#">lvs</category><category domain="http://www.blogger.com/atom/ns#">physical design</category><category domain="http://www.blogger.com/atom/ns#">physical design questions</category><category domain="http://www.blogger.com/atom/ns#">pnr</category><category domain="http://www.blogger.com/atom/ns#">timing analysis</category><category domain="http://www.blogger.com/atom/ns#">trasistor</category><category domain="http://www.blogger.com/atom/ns#">vlsi design</category><category domain="http://www.blogger.com/atom/ns#">vlsi questions</category><title>Backend (Physical Design) Interview Questions and Answers</title><description><span style="font-weight: bold;">Do you know about input vector controlled method of leakage reduction?</span><br /><ul>
<li>Leakage
current of a gate is dependant on its inputs also. Hence find the set
of inputs which gives least leakage. By applyig this minimum leakage
vector to a circuit it is possible to decrease the leakage current of
the circuit when it is in the standby mode. This method is known as
input vector controlled method of leakage reduction.</li>
</ul>
<br /><span style="font-weight: bold;">How can you reduce dynamic power?</span><br /><ul>
<li>-Reduce switching activity by designing good RTL</li>
<li>-Clock gating</li>
<li>-Architectural improvements</li>
<li>-Reduce supply voltage</li>
<li>-Use multiple voltage domains-Multi vdd</li>
</ul>
<span style="font-weight: bold;">What are the vectors of dynamic power?</span><br /><ul>
<li>Voltage and Current</li>
</ul>
<br /><span style="font-weight: bold;">If you have both IR drop and congestion how will you fix it?</span><br /><ul>
<li>-Spread macros</li>
<li>-Spread standard cells</li>
<li>-Increase strap width</li>
<li>-Increase number of straps</li>
<li>-Use proper blockage</li>
</ul>
<br /><span style="font-weight: bold;">Is increasing power line width and providing more number of straps are the only solution to IR drop?</span><br /><ul>
<li>-Spread macros</li>
<li>-Spread standard cells</li>
<li>-Use proper blockage</li>
</ul>
<br /> <span style="font-weight: bold;">In a reg to reg path if you have setup problem where will you insert buffer-near to launching flop or capture flop? Why?</span><br /><ul>
<li>(buffers
are inserted for fixing fanout voilations and hence they reduce setup
voilation; otherwise we try to fix setup voilation with the sizing of
cells; now just assume that you must insert buffer !)</li>
</ul>
<ul>
<li>Near to capture path.</li>
</ul>
<ul>
<li>Because
there may be other paths passing through or originating from the flop
nearer to lauch flop. Hence buffer insertion may affect other paths
also. It may improve all those paths or degarde. If all those paths have
voilation then you may insert buffer nearer to launch flop provided it
improves slack.</li>
</ul>
<br /><span style="font-weight: bold;">What is the most challenging task you handled?</span><br /> <span style="font-weight: bold;">What is the most challenging job in P&amp;R flow?</span><br /><ul>
<li>-It may be power planning- because you found more IR drop</li>
<li>-It may be low power target-because you had more dynamic and leakage power</li>
<li>-It may be macro placement-because it had more connection with standard cells or macros</li>
<li>-It may be CTS-because you needed to handle multiple clocks and clock domain crossings</li>
<li>-It may be timing-because sizing cells in ECO flow is not meeting timing</li>
<li>-It may be library preparation-because you found some inconsistancy in libraries. </li>
<li>-It may be DRC-because you faced thousands of voilations</li>
</ul>
<br /> <span style="font-weight: bold;">How will you synthesize clock tree?</span><br /><ul>
<li>-Single clock-normal synthesis and optimization</li>
<li>-Multiple clocks-Synthesis each clock seperately</li>
<li>-Multiple clocks with domain crossing-Synthesis each clock seperately and balance the skew</li>
</ul>
<br /><span style="font-weight: bold;">How many clocks were there in this project?</span><br /><ul>
<li>-It is specific to your project</li>
<li>-More the clocks more challenging !</li>
</ul>
<br /><span style="font-weight: bold;">How did you handle all those clocks?</span><br /><ul>
<li>-Multiple clocks--&gt;synthesize seperately--&gt;balance the skew--&gt;optimize the clock tree </li>
</ul>
<br /><span style="font-weight: bold;">Are they come from seperate external resources or PLL?</span><br /><ul>
<li>-If
it is from seperate clock sources (i.e.asynchronous; from different
pads or pins) then balancing skew between these clock sources becomes
challenging.</li>
</ul>
<ul>
<li>-If it is from PLL (i.e.synchronous) then skew balancing is comparatively easy.</li>
</ul>
<br /> <span style="font-weight: bold;">Why buffers are used in clock tree?</span><br /><ul>
<li>To balance skew (i.e. flop to flop delay)</li>
</ul>
<br /><span style="font-weight: bold;">What is cross talk?</span><br /><ul>
<li>Switching
of the signal in one net can interfere neigbouring net due to cross
coupling capacitance.This affect is known as cros talk. Cross talk may
lead setup or hold voilation. </li>
</ul>
<br /> <span style="font-weight: bold;">How can you avoid cross talk?</span><br /><ul>
<li>-Double spacing=&gt;more spacing=&gt;less capacitance=&gt;less cross talk</li>
<li>-Multiple vias=&gt;less resistance=&gt;less RC delay</li>
<li>-Shielding=&gt; constant cross coupling capacitance =&gt;known value of crosstalk</li>
<li>-Buffer insertion=&gt;boost the victim strength</li>
</ul>
<br /><span style="font-weight: bold;">How shielding avoids crosstalk problem? What exactly happens there?</span><br /><ul>
<li>-High frequency noise (or glitch)is coupled to VSS (or VDD) since shilded layers are connected to either VDD or VSS.</li>
</ul>
<ul>
<li>Coupling capacitance remains constant with VDD or VSS. </li>
</ul>
<br /><span style="font-weight: bold;">How spacing helps in reducing crosstalk noise?</span><br /><ul>
<li>width is more=&gt;more spacing between two conductors=&gt;cross coupling capacitance is less=&gt;less cross talk</li>
</ul>
<br /><span style="font-weight: bold;">Why double spacing and multiple vias are used related to clock?</span><br /><ul>
<li>Why
clock?-- because it is the one signal which chages it state regularly
and more compared to any other signal. If any other signal switches fast
then also we can use double space.</li>
</ul>
<ul>
<li>Double spacing=&gt;width is more=&gt;capacitance is less=&gt;less cross talk</li>
</ul>
<ul>
<li>Multiple vias=&gt;resistance in parellel=&gt;less resistance=&gt;less RC delay</li>
</ul>
<br /><br /><span style="font-weight: bold;">How buffer can be used in victim to avoid crosstalk?</span><br /><ul>
<li>Buffer
increase victims signal strength; buffers break the net
length=&gt;victims are more tolerant to coupled signal from aggressor.</li>
</ul>
<br />
&nbsp;more questions comming soon... :-) </description><link>http://vlsi-physical-design-and-vlsi-basics.blogspot.com/2013/07/backend-physical-design-interview.html</link><author>noreply@blogger.com (Anonymous)</author><thr:total>2</thr:total></item><item><guid isPermaLink="false">tag:blogger.com,1999:blog-3882524455347440601.post-4155702268011287366</guid><pubDate>Fri, 05 Jul 2013 13:53:00 +0000</pubDate><atom:updated>2013-07-05T06:53:13.598-07:00</atom:updated><category domain="http://www.blogger.com/atom/ns#">20nm</category><category domain="http://www.blogger.com/atom/ns#">asic design</category><category domain="http://www.blogger.com/atom/ns#">Challenges of 20nm IC Design</category><category domain="http://www.blogger.com/atom/ns#">double patterning</category><category domain="http://www.blogger.com/atom/ns#">eda</category><category domain="http://www.blogger.com/atom/ns#">ic compiler</category><category domain="http://www.blogger.com/atom/ns#">lithography</category><category domain="http://www.blogger.com/atom/ns#">physical design</category><category domain="http://www.blogger.com/atom/ns#">physical verification</category><category domain="http://www.blogger.com/atom/ns#">vlsi</category><category domain="http://www.blogger.com/atom/ns#">vlsi design</category><title>Challenges of 20nm IC Design </title><description><i>Saleem Haider, Synopsys</i> interview....<br /><br />
Designing at the 20nm node is harder than at 28nm, mostly because of the
lithography and process variability challenges that in turn require changes to
EDA tools and mask making. The attraction of 20nm design is realizing SoCs with
20 billion transistors. Synopsys has re-tooled their EDA software to enable 20nm
design.<br />
<br />
<br />
<br />
<br />
<h3>
<b>20nm Geometries with 193nm Wavelength</b></h3>
Using immersion lithography the
clever process development engineers have figured out how to resolve 20nm
geometries using 193nm wavelength light, however to make these geometries yield
now requires two separate masks, called Double Patterning Technology
(DPT).<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<img alt="" border="0" class="thumbnail" src="http://www.semiwiki.com/forum/content/attachments/6969d1367253597-immersion-lithography.png" /></div>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<b>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Figure 1: <i>Immersion Lithography</i></b><br />
<br />With DPT you have to split a single layer like Poly or Metal 1 onto two separate
masks, then the exposures from the two masks are overlaid to produce that layer
with 20nm geometries.<br />
<br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp; &nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp; <img alt="" border="0" class="thumbnail" src="http://www.semiwiki.com/forum/content/attachments/6965d1367250387-dpt.jpg" /><br />
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp; <b>Figure 2: <i>Double Patterning Technology (DPT</i>)</b><br /><br />Looking ahead to 14nm and
smaller nodes this trend will continue with three or more patterns per layer.
<br /><br />When a mask layer is turned into two parts the process is called
coloring, and the trick is to make sure that two adjacent geometries are on
different colors.<br /><br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <img alt="" border="0" class="thumbnail" src="http://www.semiwiki.com/forum/content/attachments/6966d1367250797-dpt-coloring.jpg" /><br />
<i>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </i><b>Figure 3 :DPT Coloring</b><br /><br />With DPT you have to make sure that your cell library
and Place &amp; Route tool are both DPT-compliant.<br /><br />Often in your IC
layout the DPT process will have to use stitching to accomodate via
arrays:<br /><br /><img alt="" border="0" class="thumbnail" src="http://www.semiwiki.com/forum/content/attachments/6967d1367251431-dpt-stiching.jpg" /><br />
This stitching will cause issues with line-end effects that in turn can degrade
yield:<br /><br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <img alt="" border="0" class="thumbnail" src="http://www.semiwiki.com/forum/content/attachments/6968d1367251545-line-end-effects.jpg" /><br /><br />The
earlier that you identify these issues, the sooner that you can make engineering
trade-offs.<br /><br />Foundries create layout rules at 20nm to specify how to
produce high yield, and there are some 5,000 rules at this node.<br /><br />Using
DPT techniques will also cause a variation in capacitance values between
adjacent nets caused by subtle shifts in the double masks.<br /><br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <img alt="" border="0" class="thumbnail" src="http://www.semiwiki.com/forum/content/attachments/6970d1367253761-capacitance-variation.jpg" /><br /><br /><b>DPT-Ready
EDA Tools</b><br />Synopsys has updated their EDA tools to enable 20nm design,
specifically:<br /><br /><br />
<br />
<ul>
<li>Logic synthesis, <a href="http://www.synopsys.com/Tools/Implementation/RTLSynthesis/Pages/default.aspx" target="_blank">Design Compiler</a>
</li>
<li>Place and Route, <a href="http://www.synopsys.com/Tools/Implementation/PhysicalImplementation/Pages/ICCompiler.aspx" target="_blank">IC Compiler</a>
</li>
<li>DRC and LVS, <a href="http://www.synopsys.com/Tools/Implementation/PhysicalVerification/Pages/ICValidator-Ad.aspx" target="_blank">IC Validator</a>
</li>
<li>Parasitic Extraction, <a href="http://www.synopsys.com/Tools/Implementation/SignOff/Pages/StarRC-ds.aspx" target="_blank">StarRC</a>
</li>
<li>Static Timing Analysis, <a href="http://www.synopsys.com/Tools/Implementation/SignOff/Pages/PrimeTime.aspx" target="_blank">Primetime</a>
</li>
<li>Circuit Simulation, <a href="http://www.synopsys.com/Tools/Verification/AMSVerification/CircuitSimulation/HSPICE/Pages/default.aspx" target="_blank">HSPICE</a>
</li>
<li>Custom IC Layout editing, <a href="http://www.synopsys.com/Tools/Implementation/CustomImplementation/Pages/default.aspx" target="_blank">Custom Designer</a> </li>
</ul>
<br /><br /><b>Q&amp;A</b><br /><br />Q:
Where can I read more about 20nm design with Synopsys tools?<br />A: Achronix did
a paper at the Synopsys User Group, and they fabricated at Intel's custom
foundry using FinFET technology.<br /><br />Q: How popular is your DRC and LVS tool,
IC Validator?<br />A: There have been 100 tapeouts in the past year for IC
Validator tool.<br /><br />Q: How many 20nm designs are there?<br />A: Test chips were
done first last year, and now production designs are taping out with commercial
foundries.<br /><br />Q: How many mask layers require DPT in a 20nm design?<br />A: It
depends on the foundry. First layer metal, maybe second layer of metal. As you
relax the metal pitch, then you don't need DPT. Poly needs DPT.<br /><br />Q: What
about mask costs at 20nm with DPT?<br />A: It adds to the costs. It's always a
trade off, the foundry can relax the pitches and void DPT usage.<br /><br />Q: Which
foundries have qualified 20nm with Synopsys tools?<br />A: TSMC, Samsung,
GLOBALFOUNDRIES have qualified and endorse the Synopsys flow for 20nm.<br /><br />Q:
What can you tell me about your Custom IC design tools?<br />A: Our custom tools
are also DPT aware, (SpringSoft, CiraNova, Custom Designer) - coming
together.<br /><br />Q: Why should I visit Synopsys at DAC? <br />A: We'll have live
product demos, talk about advanced nodes, show emerging nodes, 14nm, 16nm,
discuss new product features, and have special events. There is an IC Compiler
luncheon where customers speak, and that's on Monday.<br /><br />&nbsp;&nbsp; more information at&nbsp; <a href="http://www.synopsys.com/Solutions/EndSolutions/20nmdesign/Documents/20nm-and-beyond-white-paper.pdf">http://www.synopsys.com/Solutions/EndSolutions/20nmdesign/Documents/20nm-and-beyond-white-paper.pdf&nbsp;</a><br />
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <br /></description><link>http://vlsi-physical-design-and-vlsi-basics.blogspot.com/2013/07/challenges-of-20nm-ic-design.html</link><author>noreply@blogger.com (Anonymous)</author><thr:total>1</thr:total></item><item><guid isPermaLink="false">tag:blogger.com,1999:blog-3882524455347440601.post-521916512182968055</guid><pubDate>Fri, 05 Jul 2013 13:08:00 +0000</pubDate><atom:updated>2013-07-05T06:54:23.679-07:00</atom:updated><category domain="http://www.blogger.com/atom/ns#">20nm</category><category domain="http://www.blogger.com/atom/ns#">asic design</category><category domain="http://www.blogger.com/atom/ns#">cadence</category><category domain="http://www.blogger.com/atom/ns#">def</category><category domain="http://www.blogger.com/atom/ns#">lef</category><category domain="http://www.blogger.com/atom/ns#">physical design</category><category domain="http://www.blogger.com/atom/ns#">physical verification</category><category domain="http://www.blogger.com/atom/ns#">timing</category><category domain="http://www.blogger.com/atom/ns#">trasistor</category><category domain="http://www.blogger.com/atom/ns#">vlsi</category><category domain="http://www.blogger.com/atom/ns#">vlsi design</category><title>Library Exchange Format (LEF)</title><description><div sizcache051986915134058="42 118 4" sizset="false">
<b>Library Exchange Format</b> (<b>LEF</b>) is a specification for representing the physical layout of an integrate circuit in an ASCII format. It includes design rules and abstract information about the cells. LEF is used in conjunction with Design Exchange Format (DEF) to represent the complete physical layout of an integrated circuit while it is being designed.</div>
<div align="left">
An ASCII data format, used to describe a standard cell library Includes the design rules for routing and the Abstract of the cells, no information about the internal netlist of the cells</div>
<h3 align="left">
A LEF file contains the following sections:</h3>
<div align="left">
Technology: layer, design rules, via definitions, metal capacitance</div>
<div align="left">
Site: Site extension</div>
<div align="left">
Macros: cell descriptions, cell dimensions, layout of pins and blockages, capacitances.</div>
<div align="left">
<br /></div>
<div align="left">
The technology is described by the Layer and Via statements. To each layer the following&nbsp; attributes may be associated:</div>
<div align="left">
type: Layer type can be <b>routing</b>, <b>cut (contact</b>), <b>masterslice (poly, active</b>), <b>overlap</b>.</div>
<div align="left">
width/pitch/spacing rules</div>
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direction</div>
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resistance and capacitance per unit square</div>
antenna Factor<br />
<h3 align="left">
Layers are defined in process order from bottom to top </h3>
<span style="font-family: Times-Roman; font-size: small;"><span style="font-family: Times-Roman; font-size: small;"></span></span><br />
<div align="left">
<span style="font-family: Times-Roman; font-size: small;"><span style="font-family: Times-Roman; font-size: small;"><span style="font-size: small;">poly masterslice</span></span></span></div>
<span style="font-family: Times-Roman; font-size: small;"><span style="font-family: Times-Roman; font-size: small;">
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<span style="font-size: small;">cc cut</span></div>
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<span style="font-size: small;">metal1 routing</span></div>
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<span style="font-size: small;">via cut</span></div>
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<span style="font-size: small;">metal2 routing</span></div>
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<span style="font-size: small;">via2 cut</span></div>
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<span style="font-size: small;">metal3 routing</span></div>
</span></span><br />
<h4 align="left">
Cut Layer definition</h4>
<span style="color: #00b400; font-family: Times-Roman;"><span style="color: #00b400; font-family: Times-Roman;"><span style="color: #00b400; font-family: Times-Roman;"></span></span></span><br />
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<span style="color: #00b400; font-family: Times-Roman;"><span style="color: #00b400; font-family: Times-Roman;"><span style="color: #00b400; font-family: Times-Roman;">LAYER </span></span></span></div>
<span style="color: #00b400; font-family: Times-Roman;"><span style="color: #00b400; font-family: Times-Roman;"><span style="color: #00b400; font-family: Times-Roman;">
</span></span></span><i><span style="font-family: Times-Italic;"><span style="font-family: Times-Italic;">layername</span></span></i><span style="color: #00b400; font-family: Times-Roman;"><span style="color: #00b400; font-family: Times-Roman;"><span style="color: #00b400; font-family: Times-Roman;">
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TYPE CUT</div>
</span></span></span><span style="font-family: Times-Roman;"><span style="font-family: Times-Roman;">;</span></span><span style="color: #00b400; font-family: Times-Roman;"><span style="color: #00b400; font-family: Times-Roman;"><span style="color: #00b400; font-family: Times-Roman;">
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SPACING </div>
</span></span></span><span style="font-family: Times-Roman;"><span style="font-family: Times-Roman;">Specifies the minimum spacing allowed between via cuts on the same net or different nets. This value can be overridden by the </span></span><span style="color: #00b400; font-family: Times-Roman;"><span style="color: #00b400; font-family: Times-Roman;"><span style="color: #00b400; font-family: Times-Roman;">SAMENET SPACING </span></span></span><span style="font-family: Times-Roman;"><span style="font-family: Times-Roman;">statement (we are going to use this statement later)</span></span><span style="color: #00b400; font-family: Times-Roman;"><span style="color: #00b400; font-family: Times-Roman;"><span style="color: #00b400; font-family: Times-Roman;">END </span></span></span><i><span style="font-family: Arial;"><span style="font-family: Arial;">layerName</span></span></i>
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<h3 style="text-align: justify;">
<span style="color: black;"><span style="color: #476892; font-family: 'Calibri','sans-serif'; font-size: 11pt;">Implant Layer </span><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">definition<o:p></o:p></span></span></h3>
<div style="text-align: justify;">
<i><span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">LAYER </span></i><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">layerName</span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;"><o:p></o:p></span></div>
<div style="text-align: justify;">
<i><span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">TYPE IMPLANT </span></i><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">;</span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;"><o:p></o:p></span></div>
<div style="text-align: justify;">
<i><span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">SPACING </span></i><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">minSpacing</span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;"><o:p></o:p></span></div>
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<i><span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">END </span></i><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">layerName</span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;"><o:p></o:p></span></div>
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<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">Defines implant layers in the design. Each layer is defined by assigning it a name and simple spacing and width rules. These spacing and width rules only affect the legal cell placements. These rules interact with the library methodology, detailed placement, and filler cell support.<o:p></o:p></span></i></div>
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<br /></div>
<h3 style="text-align: justify;">
<span style="color: #476892; font-family: 'Calibri','sans-serif'; font-size: 11pt;">Masterslice or Overlap Layer </span><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">definition<o:p></o:p></span></h3>
<div style="text-align: justify;">
<i><span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">LAYER </span></i><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">layerName</span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;"><o:p></o:p></span></div>
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<i><span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">TYPE </span></i><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">{<span style="color: #00b400;">MASTERSLICE </span>| <span style="color: #00b400;">OVERLAP</span>} ;</span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;"><o:p></o:p></span></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">Defines masterslice (nonrouting) or overlap layers in the design. Masterslice layers are typically polysilicon layers and are only needed if the cell MACROs have pins on the polysilicon layer.</span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;"><o:p></o:p></span></div>
<div style="text-align: justify;">
<br /></div>
<h3 style="text-align: justify;">
<span style="color: #476892; font-family: 'Calibri','sans-serif'; font-size: 11pt;">Routing Layer </span><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">definition<o:p></o:p></span></h3>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">LAYER </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">layerName<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">TYPE </span><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">ROUTING ;<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">DIRECTION </span><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">{<span style="color: #00b400;">HORIZONTAL </span>| <span style="color: #00b400;">VERTICAL</span>} ;<o:p></o:p></span></div>
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<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">PITCH </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">distance</span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">;<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">WIDTH </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">defWidth</span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">;<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">OFFSET </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">distance </span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">;<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">SPACING </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">minSpacing;<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">RESISTANCE </span><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">RPERSQ <i>value </i>;<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">Specifies the resistance for a square of wire, in ohms per square.<span style="mso-spacerun: yes;">&nbsp; </span>The resistance of a wire can be defined as RPERSQU x wire length/wire width<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">CAPACITANCE </span><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">CPERSQDIST <i>value </i>;<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">Specifies the capacitance for each square unit, in picofarads per square micron. This is used to model wire-to-ground capacitance.<o:p></o:p></span></div>
<div style="text-align: justify;">
<br /></div>
<h3 style="text-align: justify;">
<span style="color: #476892; font-family: 'Calibri','sans-serif'; font-size: 11pt;">Manufacturing Grid<o:p></o:p></span></h3>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">MANUFACTURINGGRID </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">value </span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">;<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">Defines the manufacturing grid for the design. The manufacturing grid is used for geometry alignment. When specified, shapes and cells are placed in locations that snap to the manufacturing grid.<o:p></o:p></span></div>
<div style="text-align: justify;">
<br /></div>
<h3 style="text-align: justify;">
<span style="color: #476892; font-family: 'Calibri','sans-serif'; font-size: 11pt;">Via<o:p></o:p></span></h3>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">VIA </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">viaName<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">DEFAULT<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">TOPOFSTACKONLY<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">FOREIGN </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">foreignCellName </span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">[<i>pt </i>[<i>orient</i>]] ;<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">RESISTANCE </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">value </span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">;<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">{<span style="color: #00b400;">LAYER </span><i>layerName </i>;<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">{<span style="color: #00b400;">RECT </span><i>pt pt </i>;} ...} ...<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">END </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">viaName<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">Defines vias for usage by signal routers. Default vias have exactly three layers used:<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;"><span style="mso-spacerun: yes;">&nbsp;</span>A cut layer, and two layers that touch the cut layer (routing or masterslice). The cut layer rectangle must be between the two routing or masterslice layer rectangles.<o:p></o:p></span></div>
<div style="text-align: justify;">
<br /></div>
<h3 style="text-align: justify;">
<span style="color: #476892; font-family: 'Calibri','sans-serif'; font-size: 11pt;">Via Rule Generate<o:p></o:p></span></h3>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">VIARULE </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">viaRuleName </span></i><span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">GENERATE<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">LAYER </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">routingLayerName </span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">;<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">{ <span style="color: #00b400;">DIRECTION </span>{<span style="color: #00b400;">HORIZONTAL </span>| <span style="color: #00b400;">VERTICAL</span>} ;<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">OVERHANG </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">overhang </span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">;<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">METALOVERHANG </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">metalOverhang </span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">;<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">| <span style="color: #00b400;">ENCLOSURE </span><i>overhang1 overhang2 </i>;}<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">LAYER </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">routingLayerName </span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">;<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">{ <span style="color: #00b400;">DIRECTION </span>{<span style="color: #00b400;">HORIZONTAL </span>| <span style="color: #00b400;">VERTICAL</span>} ;<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">OVERHANG </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">overhang </span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">;<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">METALOVERHANG </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">metalOverhang </span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">;<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">| <span style="color: #00b400;">ENCLOSURE </span><i>overhang1 overhang2 </i>;}<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">LAYER </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">cutLayerName </span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">;<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">RECT </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">pt pt </span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">;<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">SPACING </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">xSpacing </span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">BY <i>ySpacing </i>;<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">RESISTANCE </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">resistancePerCut </span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">;<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">END <i>viaRuleName<o:p></o:p></i></span></div>
<div style="text-align: justify;">
<span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">Defines formulas for generating via arrays. Use the VIARULE GENERATE statement to cover special wiring that is not explicitly defined in the VIARULE statement. <o:p></o:p></span></div>
<div style="text-align: justify;">
<br /></div>
<h3 style="text-align: justify;">
<span style="color: #476892; font-family: 'Calibri','sans-serif'; font-size: 11pt;">Same-Net Spacing<o:p></o:p></span></h3>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">SPACING<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">SAMENET </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">layerName layerName minSpace </span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">[<span style="color: #00b400;">STACK</span>] ; ...<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">END SPACING<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">Defines the same-net spacing rules. Same-net spacing rules determine minimum spacing between geometries in the same net and are only required if same-net spacing is smaller than different-net spacing, or if vias on different layers have special stacking rules.<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">Thesespecifications are used for design rule checking by the routing and verification tools.<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">Spacing is the edge-to-edge separation, both orthogonal and diagonal.<o:p></o:p></span></div>
<h3 style="text-align: justify;">
<span style="color: #476892; font-family: 'Calibri','sans-serif'; font-size: 11pt;">Site<o:p></o:p></span></h3>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">SITE </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">siteName<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">CLASS </span><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">{<span style="color: #00b400;">PAD </span>| <span style="color: #00b400;">CORE</span>} ;<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">[<span style="color: #00b400;">SYMMETRY </span>{<span style="color: #00b400;">X </span>| <span style="color: #00b400;">Y </span>| <span style="color: #00b400;">R90</span>} ... ;] (will discuss this later in macro definition)<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">SIZE </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">width </span></i><span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">BY </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">height </span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">;<o:p></o:p></span></div>
<div style="text-align: justify;">
<span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">END </span><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">siteName</span></i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;"><o:p></o:p></span></div>
<div style="text-align: justify;">
<br /></div>
<h3 style="text-align: justify;">
<span style="color: #476892; font-family: 'Calibri','sans-serif'; font-size: 11pt;">Macro<o:p></o:p></span></h3>
<div style="text-align: justify;">
<i><span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">MACRO </span></i><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">macroName<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">[<span style="color: #00b400;">CLASS<o:p></o:p></span></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">{ <span style="color: #00b400;">COVER </span>[<span style="color: #00b400;">BUMP</span>]<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">| <span style="color: #00b400;">RING<o:p></o:p></span></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">| <span style="color: #00b400;">BLOCK </span>[<span style="color: #00b400;">BLACKBOX</span>]<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">| <span style="color: #00b400;">PAD </span>[<span style="color: #00b400;">INPUT | OUTPUT |INOUT | POWER | SPACER | AREAIO</span>]<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">| <span style="color: #00b400;">CORE </span>[<span style="color: #00b400;">FEEDTHRU | TIEHIGH | TIELOW | SPACER | ANTENNACELL</span>]<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">| <span style="color: #00b400;">ENDCAP </span>{<span style="color: #00b400;">PRE | POST | TOPLEFT | TOPRIGHT | BOTTOMLEFT | BOTTOMRIGHT</span>}<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">}<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">;]<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">[<span style="color: #00b400;">SOURCE </span>{<span style="color: #00b400;">USER </span>| <span style="color: #00b400;">BLOCK</span>} ;]<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">[<span style="color: #00b400;">FOREIGN </span>foreignCellName [pt [orient]] ;] ...<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">[<span style="color: #00b400;">ORIGIN </span>pt ;]<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">[<span style="color: #00b400;">SIZE </span>width BY height ;]<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">[<span style="color: #00b400;">SYMMETRY </span>{X | Y | R90} ... ;]<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">[<span style="color: #00b400;">SITE </span>siteName ;]<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">[<span style="color: #00b400;">PIN </span>statement] ...<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">[<span style="color: #00b400;">OBS </span>statement] ...<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<br /></div>
<h3 style="text-align: justify;">
<span style="color: #476892; font-family: 'Calibri','sans-serif'; font-size: 11pt;">Macro Pin Statement<o:p></o:p></span></h3>
<div style="text-align: justify;">
<i><span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">PIN </span></i><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">pinName<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">FOREIGN </span></i><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">foreignPinName [STRUCTURE [pt [orient] ] ] ;<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">[<span style="color: #00b400;">DIRECTION </span>{<span style="color: #00b400;">INPUT | OUTPUT [TRISTATE] | INOUT | FEEDTHRU</span>} ;]<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">[<span style="color: #00b400;">USE </span>{ <span style="color: #00b400;">SIGNAL | ANALOG | POWER | GROUND | CLOCK </span>} ;]<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">[<span style="color: #00b400;">SHAPE </span>{<span style="color: #00b400;">ABUTMENT </span>| <span style="color: #00b400;">RING </span>| <span style="color: #00b400;">FEEDTHRU</span>} ;]<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">[<span style="color: #00b400;">MUSTJOIN </span>pinName ;]<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">{<span style="color: #00b400;">PORT<o:p></o:p></span></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">[<span style="color: #00b400;">CLASS </span>{<span style="color: #00b400;">NONE </span>| <span style="color: #00b400;">CORE</span>} ;]<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">{layerGeometries} ...<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">END</span></i><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">} ...<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">END </span></i><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">pinName]<o:p></o:p></span></i></div>
<h3 style="text-align: justify;">
<span style="color: #476892; font-family: 'Calibri','sans-serif'; font-size: 11pt;">Macro Obstruction Statement<o:p></o:p></span></h3>
<div style="text-align: justify;">
<i><span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">OBS<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">{ <span style="color: #00b400;">LAYER </span>layerName [<span style="color: #00b400;">SPACING </span>minSpacing | <span style="color: #00b400;">DESIGNRULEWIDTH </span>value] ;<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">RECT </span></i><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">pt pt ;<o:p></o:p></span></i></div>
<div style="text-align: justify;">
<i><span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt;">POLYGON </span></i><i><span style="font-family: 'Calibri','sans-serif'; font-size: 11pt;">pt pt pt pt ... ;<o:p></o:p></span></i></div>
<i><span style="color: #00b400; font-family: 'Calibri','sans-serif'; font-size: 11pt; line-height: 115%; mso-ansi-language: EN-US; mso-bidi-language: AR-SA; mso-fareast-font-family: Calibri; mso-fareast-language: EN-US; mso-fareast-theme-font: minor-latin;">END</span></i></description><link>http://vlsi-physical-design-and-vlsi-basics.blogspot.com/2013/07/library-exchange-format-lef.html</link><author>noreply@blogger.com (Anonymous)</author><thr:total>0</thr:total></item><item><guid isPermaLink="false">tag:blogger.com,1999:blog-3882524455347440601.post-9022494384797506527</guid><pubDate>Fri, 05 Jul 2013 08:02:00 +0000</pubDate><atom:updated>2013-07-05T05:23:37.211-07:00</atom:updated><category domain="http://www.blogger.com/atom/ns#">.lib</category><category domain="http://www.blogger.com/atom/ns#">asic design</category><category domain="http://www.blogger.com/atom/ns#">file formats</category><category domain="http://www.blogger.com/atom/ns#">physical design</category><category domain="http://www.blogger.com/atom/ns#">sta</category><category domain="http://www.blogger.com/atom/ns#">trasistor</category><category domain="http://www.blogger.com/atom/ns#">vlsi</category><category domain="http://www.blogger.com/atom/ns#">vlsi design</category><title>DIFFERENT TYPES OF FILE FORMATS AND THEIR MEANINGS IN VLSI..</title><description><h3 class="post-title entry-title" style="font: normal normal bold 24px/normal Arial, Tahoma, Helvetica, FreeSans, sans-serif; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0.75em; position: relative; text-align: justify;">
<span class="Apple-style-span" style="font-size: small; font-weight: normal;">There
are different type of the files generated during a design cycle or data
received by the library vendor/foundry. Few of them having specific
extension. Just to know the extension, you can easily identity the type
of content in that file.</span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span class="Apple-style-span" style="font-size: small; font-weight: normal;"><br /></span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span style="font-size: small;">
<span class="Apple-style-span">&nbsp;*.ddc</span><span class="Apple-style-span" style="font-weight: normal;">&nbsp;- Synopsys internal database format. This format is recommended by Synopsys to hand gate-level netlists.</span><span class="Apple-style-span" style="font-weight: normal;">File Extensions:&nbsp;</span></span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span class="Apple-style-span" style="font-size: small;">*.v</span><span class="Apple-style-span" style="font-size: small; font-weight: normal;">&nbsp;-
Verilog source file. Normally it’s a source file your write. Design
Compiler, and IC Compiler can use this format for the gate-level
netlist.</span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span class="Apple-style-span" style="font-size: small;">*.vg, .g.v</span><span class="Apple-style-span" style="font-size: small; font-weight: normal;">&nbsp;-
Verilog gate-level netlist file. Sometimes people use these file
extension to differentiate source files and gate-level netlists.</span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span class="Apple-style-span" style="font-size: small;">*.svf</span><span class="Apple-style-span" style="font-size: small; font-weight: normal;">&nbsp;-
Automated setup file. This file helps Formality process design changes
caused by other tools used in the design flow. Formality uses this file
to assist the compare point matching and verification process. This
information facilitates alignment of compare points in the designs that
you are verifying. For each automated setup file that you load,
Formality processes the content and stores the information for use
during the name-based compare point matching period.</span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span style="font-size: small;">
<span class="Apple-style-span">&nbsp;*.vcd</span><span class="Apple-style-span" style="font-weight: normal;">&nbsp;-
Value Change Dump format. This format is used to save signal transition
trace information. This format is in text format, therefore, the trace
file in this format can get very large quickly. There are tools like
vcd2vpd, vpd2vcd, and vcd2saif switch back and forth between different
formats.</span></span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span class="Apple-style-span" style="font-size: small;">*.vpd</span><span class="Apple-style-span" style="font-size: small; font-weight: normal;">&nbsp;-
VCD Plus. This is a proprietary compressed binary trace format from
Synopsys. This file format is used to save signal transition trace
information as well.</span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span style="font-size: small;">
<span class="Apple-style-span" style="font-weight: normal;">&nbsp;</span><span class="Apple-style-span">*.saif</span><span class="Apple-style-span" style="font-weight: normal;">&nbsp;-
Switching Activity Interchange Format. It’s another format to save
signal transition trace information. SAIF files support signals and
ports for monitoring as well as constructs such as generates, enumerated
types, records, array of arrays, and integers.</span></span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span style="font-size: small;">
<span class="Apple-style-span" style="font-weight: normal;">&nbsp;</span><span class="Apple-style-span">*.tcl</span><span class="Apple-style-span" style="font-weight: normal;">&nbsp;- Tool Command Language (Tcl) scripts. Tcl is used to drive Synopsys tools.</span></span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span style="font-size: small;">
<span class="Apple-style-span" style="font-weight: normal;">&nbsp;</span><span class="Apple-style-span">*.sdc</span><span class="Apple-style-span" style="font-weight: normal;">&nbsp;-
Synopsys Design Constraints. SDC is a Tcl-based format. All commands in
an SDC file conform to the Tcl syntax rules. You use an SDC file to
communicate the design intent, including timing and area requirements
between EDA tools. An SDC file contains the following information: SDC
version, SDC units, design constraints, and comments.&nbsp;</span></span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span style="font-size: small;">
<span class="Apple-style-span">&nbsp;*.lib</span><span class="Apple-style-span" style="font-weight: normal;">&nbsp;-
Technology Library source file. Technology libraries contain
information about the characteristics and functions of each cell
provided in a semiconductor vendor’s library. Semiconductor vendors
maintain and distribute the technology libraries. In our case the vendor
is Synopsys. Cell characteristics include information such as cell
names, pin names, area, delay arcs, and pin loading. The technology
library also defines the conditions that must be met for a functional
design (for example, the maximum transition time for nets). These
conditions are called design rule constraints. In addition to cell
information and design rule constraints, technology libraries specify
the operating conditions and wire load models specific to that
technology.</span></span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span style="font-size: small;">
<span class="Apple-style-span" style="font-weight: normal;">&nbsp;</span><span class="Apple-style-span">*.db</span><span class="Apple-style-span" style="font-weight: normal;">&nbsp;- Technology Library. This is a compiled version of *.lib in Synopsys database format.</span></span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span style="font-size: small;">
<span class="Apple-style-span" style="font-weight: normal;">&nbsp;</span><span class="Apple-style-span">*.plib</span><span class="Apple-style-span" style="font-weight: normal;">&nbsp;-
Physical Library source file. Physical libraries contain process
information, and physical layout information of the cells. This
information is required for floor planning, RC estimation and
extraction, placement, and routing.</span></span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span style="font-size: small;">
<span class="Apple-style-span" style="font-weight: normal;">&nbsp;</span><span class="Apple-style-span">*.pdb</span><span class="Apple-style-span" style="font-weight: normal;">&nbsp;- Physical Library. This is a compiled version of *.plib in Synopsys database format.</span></span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span style="font-size: small;">
<span class="Apple-style-span" style="font-weight: normal;">&nbsp;</span><span class="Apple-style-span">*.slib</span><span class="Apple-style-span" style="font-weight: normal;">&nbsp;-
Symbol Library source file. Symbol libraries contain definitions of the
graphic symbols that represent library cells in the design schematics.
Semiconductor vendors maintain and distribute the symbol libraries.
Design Compiler uses symbol libraries to generate the design schematic.
You must use Design Vision to view the design schematic. When you
generate the design schematic, Design Compiler performs a one-to-one
mapping of cells in the netlist to cells in the symbol library.</span></span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span style="font-size: small;">
<span class="Apple-style-span">&nbsp;*.sdb</span><span class="Apple-style-span" style="font-weight: normal;">&nbsp;- Symbol Library. This is a compiled version of *.slib in Synopsys database format.</span></span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span style="font-size: small;">
<span class="Apple-style-span">&nbsp;*.sldb</span><span class="Apple-style-span" style="font-weight: normal;">&nbsp;- DesignWare Library. This file contains information about DesignWare libraries.</span></span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span style="font-size: small;">
<span class="Apple-style-span">&nbsp;*.def</span><span class="Apple-style-span" style="font-weight: normal;">&nbsp;-
Design Exchange Format. This format is often used in Cadence tools to
represent physical layout. Synopsys tools normally use Milkyway format
to save designs.</span></span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span style="font-size: small;">
<span class="Apple-style-span" style="font-weight: normal;">&nbsp;</span><span class="Apple-style-span">*.lef</span><span class="Apple-style-span" style="font-weight: normal;">&nbsp;-
Library Exchange Format. Standard cells are often saved in this format.
Cadence tools also often use this format. Synopsys tools normally use
Milkyway format for standard cells.</span></span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span style="font-size: small;">
<span class="Apple-style-span" style="font-weight: normal;">&nbsp;</span><span class="Apple-style-span">*.rpt</span><span class="Apple-style-span" style="font-weight: normal;">&nbsp;-
Reports. This is not a proprietary format, it’s just a text format
which saves generated reports by the tools when you use the automated
makefiles and scripts.</span></span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span style="font-size: small;">
<span class="Apple-style-span" style="font-weight: normal;">&nbsp;</span><span class="Apple-style-span">*.tf&nbsp;</span><span class="Apple-style-span" style="font-weight: normal;">-
Vendor Technology File. This file contains technology-specific
information such as the names, characteristics (physical and electrical)
for each metal layer, and design rules. These information are required
to route a design.</span></span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span style="font-size: small;">
<span class="Apple-style-span">&nbsp;*.itf&nbsp;</span><span class="Apple-style-span" style="font-weight: normal;">-
Interconnect Technology File. This file contains a description of the
process crosssection and connectivity section. It also describes the
thicknesses and physical attributes of the conductor and dielectric
layers.</span></span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span style="font-size: small;">
<span class="Apple-style-span">&nbsp;*.map</span><span class="Apple-style-span" style="font-weight: normal;">&nbsp;- Mapping file. This file aligns names in the vendor technology file with the names in the process *.itf file.</span></span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span style="font-size: small;">
<span class="Apple-style-span" style="font-weight: normal;">&nbsp;</span><span class="Apple-style-span">*.tluplus - TLU+ file</span><span class="Apple-style-span" style="font-weight: normal;">.
These files are generated from the *.itf files. TLUPlus models are a
set of models containing advanced process effects that can be used by
the parasitic extractors in Synopsys place-and-route tools for modeling.</span></span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span style="font-size: small;">
<span class="Apple-style-span" style="font-weight: normal;">&nbsp;</span><span class="Apple-style-span">*.spef</span><span class="Apple-style-span" style="font-weight: normal;">&nbsp;-&nbsp;<i>Standard Parasitic Exchange Format</i>. File format to save parasitic information extracted by the place and route tool.</span></span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span style="font-size: small;">
<span class="Apple-style-span" style="font-weight: normal;">&nbsp;</span><span class="Apple-style-span">*.sbpf</span><span class="Apple-style-span" style="font-weight: normal;">&nbsp;-&nbsp;<i>Synopsys Binary Parasitic Format</i>. A Synopsys proprietary compressed binary format of the&nbsp;<i>*.spef</i>. Size of the file shrinks quite a bit using this format.</span></span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span class="Apple-style-span" style="font-size: small;">*.mw( Milkyway database)&nbsp;</span><span class="Apple-style-span" style="font-size: small; font-weight: normal;">The
Milkyway database consists of libraries that contain information about
your design. Libraries contain information about design cells, standard
cells, macro cells, and so on. They contain physical descriptions, such
as metal, diffusion, and polygon geometries. Libraries also contain
logical information (functionality and timing characteristics) for every
cell in the library. Finally, libraries contain technology information
required for design and fabrication. Milkyway provides two types of
libraries that you can use: reference libraries and design libraries.
Reference libraries contain standard cells and hard or soft macro cells,
which are typically created by vendors. Reference libraries contain
physical information necessary for design implementation. Physical
information includes the routing directions and the placement unit tile
dimensions, which is the width and height of the smallest instance that
can be placed. A design library contains a design cell. The design cell
might contain references to multiple reference libraries (standard cells
and macro cells). Also, a design library can be a reference library for
another design library. The Milkyway library is stored as a UNIX
directory with subdirectories, and every library is managed by the
Milkyway Environment. The top-level directory name corresponds to the
name of the Milkyway library. Library subdirectories are classified into
different views containing the appropriate information relevant to the
library cells or the designs. In a Milkyway library there are different
views for each cell, for example, NOR1.CEL and NOR1.FRAM. This is unlike
a .db formatted library where all the cells are in a single binary
file. With a .db library, the entire library has to be read into memory.
In the Milkyway Environment, the Synopsys tool loads the library data
relevant to the design as needed, reducing memory usage. The most
commonly used Milkyway views are CEL and FRAM. CEL is the full layout
view, and FRAM is the abstract view for place and route operations.</span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span style="font-size: small;">
<span class="Apple-style-span" style="font-weight: normal;">&nbsp;</span><span class="Apple-style-span">simv</span><span class="Apple-style-span" style="font-weight: normal;">&nbsp;- Compiled simulator. This is the output of vcs. In order to simulate, run the simulator by ./simv at the command line.</span></span></h3>
<h3 class="post-title entry-title" style="-moz-font-feature-settings: normal; -moz-font-language-override: normal; font-family: Arial,Tahoma,Helvetica,FreeSans,sans-serif; font-size-adjust: none; font-stretch: normal; font-style: normal; font-variant: normal; font-weight: bold; line-height: normal; margin: 0.75em 0px 0px; position: relative; text-align: justify;">
<span style="font-size: small;">
<span class="Apple-style-span" style="font-weight: normal;">&nbsp;</span><span class="Apple-style-span">alib-52&nbsp;</span><span class="Apple-style-span" style="font-weight: normal;">-
characterized target technology library. A pseudo library which has
mappings from Boolean functional circuits to actual gates from the
target library. This library provides Design Compiler with greater
flexibility and a larger solution space to explore tradeoffs between
area and delay during optimization.</span></span></h3>
</description><link>http://vlsi-physical-design-and-vlsi-basics.blogspot.com/2013/07/different-types-of-file-formats-and.html</link><author>noreply@blogger.com (Anonymous)</author><thr:total>0</thr:total></item><item><guid isPermaLink="false">tag:blogger.com,1999:blog-3882524455347440601.post-5454851574727673636</guid><pubDate>Thu, 04 Jul 2013 14:14:00 +0000</pubDate><atom:updated>2013-07-04T07:14:27.183-07:00</atom:updated><category domain="http://www.blogger.com/atom/ns#">.lib</category><category domain="http://www.blogger.com/atom/ns#">asic design</category><category domain="http://www.blogger.com/atom/ns#">capacitance</category><category domain="http://www.blogger.com/atom/ns#">cmos</category><category domain="http://www.blogger.com/atom/ns#">how to read spef</category><category domain="http://www.blogger.com/atom/ns#">liberty</category><category domain="http://www.blogger.com/atom/ns#">nldm.</category><category domain="http://www.blogger.com/atom/ns#">parasitic</category><category domain="http://www.blogger.com/atom/ns#">power analysis</category><category domain="http://www.blogger.com/atom/ns#">resistance</category><category domain="http://www.blogger.com/atom/ns#">synopsys</category><category domain="http://www.blogger.com/atom/ns#">timing</category><category domain="http://www.blogger.com/atom/ns#">trasistor</category><category domain="http://www.blogger.com/atom/ns#">uncertanity</category><category domain="http://www.blogger.com/atom/ns#">vlsi</category><title>Difference Between CCS and NLDM</title><description><div dir="ltr" style="text-align: left;" trbidi="on">
<h3 style="text-align: left;">
<strong>What is CCS and NLDM:</strong></h3>
<div class="rteindent1">
CCS stands for Composit Current Sourse Model, and
NLDM&nbsp;stands for Non-Linear Delay Model. Both CCS &amp; NLDM are delay
models used in timing analyze.</div>
<h3 style="text-align: left;">
<strong>Difference between CCS &amp;&nbsp;NLDM:</strong></h3>
<ul>
<li>NLDM uses a voltage source for driver modeling</li>
<li>CCS uses a current source for driver modeling</li>
</ul>
<h3 style="text-align: left;">
<strong>Why prefer CCS&nbsp;to NLDM:</strong></h3>
<div class="rteindent1">
The issues with NLDM modeling is that, when the
drive resistance RD becomes much less than Znet(network load impedance),
then ideal condition arises i.e Vout=Vin. Which is impossible in
practical conditions.</div>
<div class="rteindent1">
So with NLDM modeling parameters like the cell delay calculation, skew calculation will be inaccurate.</div>
<div class="rteindent1">
That is the reason why we prefer CCS to NLDM</div>
</div>
</description><link>http://vlsi-physical-design-and-vlsi-basics.blogspot.com/2013/07/difference-between-ccs-and-nldm.html</link><author>noreply@blogger.com (Anonymous)</author><thr:total>8</thr:total></item><item><guid isPermaLink="false">tag:blogger.com,1999:blog-3882524455347440601.post-7872758104280222594</guid><pubDate>Thu, 04 Jul 2013 13:54:00 +0000</pubDate><atom:updated>2013-07-04T06:54:35.972-07:00</atom:updated><category domain="http://www.blogger.com/atom/ns#">asic design</category><category domain="http://www.blogger.com/atom/ns#">buffer</category><category domain="http://www.blogger.com/atom/ns#">cmos</category><category domain="http://www.blogger.com/atom/ns#">cts</category><category domain="http://www.blogger.com/atom/ns#">latency</category><category domain="http://www.blogger.com/atom/ns#">physical design</category><category domain="http://www.blogger.com/atom/ns#">pnr</category><category domain="http://www.blogger.com/atom/ns#">sta</category><category domain="http://www.blogger.com/atom/ns#">timing</category><category domain="http://www.blogger.com/atom/ns#">trasistor</category><category domain="http://www.blogger.com/atom/ns#">trasition</category><category domain="http://www.blogger.com/atom/ns#">uncertanity</category><category domain="http://www.blogger.com/atom/ns#">vlsi</category><title>Designing a robust clock tree structure</title><description><div dir="ltr" style="text-align: left;" trbidi="on">
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<br />
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<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Clock tree
synthesis (CTS) is at the heart of ASIC design and clock tree network
robustness is one of the most important quality metrics of SoC design. With
technology advancement happened over the past one and half decade, clock tree
robustness has become an even more critical factor affecting SoC performance.
Conventionally, engineers focus on designing a symmetrical clock tree with
minimum latency and skew. However, with the current complex design needs, this
is not enough.<br />
<br />
Today, SoCs are designed to support multiple features. They have multiple clock
sources and user modes which makes the clock tree architecture complex. Merging
test clocking with functional clocking and lower technology nodes adds to this
complexity. Due to the increase in derate numbers and additional timing signoff
corners, timing margins are shrinking.&nbsp; <br />
<br />
To meet the current requirements, designs that are timing friendly are needed
and provide minimum power dissipation. This article describes the factors which
a designer should consider while defining clock tree architecture. It presents
some real design examples that illustrate how current EDA tools or conventional
methodologies to design clock trees are not sufficient in all cases. A designer
has to understanding the nitty -gritty of clock tree architecture to be able to
guide an EDA tool to build a more efficient clock tree.&nbsp; First, the basics
of CTS and requirements for good clock tree are presented.<br />
</span></div>
<h3>
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">
</span><b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 13.5pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Clock tree
quality parameters</span></b></h3>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">
The primary requirements for ideal synchronous clocks are:</span></div>
<ol start="1" type="1">
<li class="MsoNormal" style="line-height: normal; mso-list: l1 level1 lfo1; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Minimum Latency</span></b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"> – The latency of a clock is
defined as the total time that a clock signal takes to propagate from the
clock source to a specific register clock pin inside the design.&nbsp; The
advantages of building a clock with minimum latency are obvious – fewer
clock tree buffers, reduced clock power dissipation, less routing
resources and relaxed timing closure.</span></li>
<li class="MsoNormal" style="line-height: normal; mso-list: l1 level1 lfo1; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Minimum skew</span></b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"> – The difference in arrival time
of a clock at flip-flops is defined as skew.&nbsp; Minimum skew helps with
timing closure, especially hold timing closure. However there is a word of
caution - targeting&nbsp; too aggressive minimum skews can be
counterproductive because it may not help meeting hold timing but it can
end up having other problems like increasing overall clock latency and
increasing uncommon paths between registers in order to achieve minimum
skew.</span></li>
<li class="MsoNormal" style="line-height: normal; mso-list: l1 level1 lfo1; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Duty Cycle</span></b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"> – Maintaining a good duty cycle
for the clock network is another important requirement. Many sequential
devices, like flash, require minimum pulse width on the input clock to
ensure error-free operation. Moreover many IO interfaces like DDR and QSPI
can work on both edges of clock.&nbsp; A clock tree must be designed with
these considerations and symmetrical cells having similar rise-fall delays
should be used to build the clock tree.</span></li>
<li class="MsoNormal" style="line-height: normal; mso-list: l1 level1 lfo1; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Minimum Uncommon path</span></b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"> - The logically connected
registers&nbsp; must have minimum uncommon clock path. Timing derates are
applied to the clock path to model process variations on the die.&nbsp;
Using a standard timing derates methodology, derates are applied only on
uncommon path of launch and capture clock path because it is unlikely that
common clock paths can have different process variations in launch and
capture cycle. This concept is also called CRPR adjustment. The important
concept is that a clock path should have minimum uncommon path between two
connected registers.<br />
</span><div style="text-align: center;">
<div style="text-align: center;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">&nbsp;
</span></div>
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"></span></div>
<div style="text-align: center;">
<div style="text-align: center;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">
</span><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"><img alt="" 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" /> </span></div>
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"></span></div>
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">
</span><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-fareast-font-family: &quot;Times New Roman&quot;; mso-no-proof: yes;"></span><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"></span></li>
</ol>
<div align="center" class="MsoNormal" style="line-height: normal; margin-left: .5in; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; text-align: center;">
<b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Figure 1: Common and ucommon clock
paths between two&nbsp; registers</span></b></div>
<ol start="5" type="1">
<li class="MsoNormal" style="line-height: normal; mso-list: l1 level1 lfo1; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Signal Integrity – Clock signals
are more prone to signal integrity problems because of high switching
activity. To avoid the effect of noise and to avoid EM violations, clock
trees should be constructed using a DWDS(Double width double spacing )
rule. Increased spacing will help in minimizing noise effect. Similarly,
increased width will help to avoid EM violations.</span></li>
<li class="MsoNormal" style="line-height: normal; mso-list: l1 level1 lfo1; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Minimum Power Dissipation – This
is one of the most important quality parameter of a clock tree. At the
architecture level, clock gating is done at multiple levels to save power
and certain things are expected to done while building clock trees such as
maintaining good clock transition, minimum latency etc.</span></li>
</ol>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"><br /></span></div>
<h3>
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">
</span><b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 13.5pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">EDA tool role
in clock tree synthesis</span></b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"></span></h3>
<h3 style="text-align: left;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"></span></h3>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">
Today, a lot of R&amp;D has been done on EDA tools to design an ideal clock
tree. The CTS engines of these tools support most of the SOC requirements to
design a robust clock tree. These tools even generate clock spec definitions
from SDC(timing constraint files).&nbsp; A typical clock spec file includes:</span></div>
<ul type="disc">
<li class="MsoNormal" style="line-height: normal; mso-list: l2 level1 lfo2; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">All clock sources information </span></li>
<li class="MsoNormal" style="line-height: normal; mso-list: l2 level1 lfo2; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Synchronous/Asynchronous
relationships between various clocks</span></li>
<li class="MsoNormal" style="line-height: normal; mso-list: l2 level1 lfo2; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Through pins </span></li>
<li class="MsoNormal" style="line-height: normal; mso-list: l2 level1 lfo2; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Exclude pins </span></li>
<li class="MsoNormal" style="line-height: normal; mso-list: l2 level1 lfo2; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Clock pulling pushing information</span></li>
<li class="MsoNormal" style="line-height: normal; mso-list: l2 level1 lfo2; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Leaf Pin</span></li>
</ul>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;">
<b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 13.5pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"><br /></span></b></div>
<h3>
<b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 13.5pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">
Going one level down in SoC to design an ideal clock tree</span></b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"></span></h3>
<h3 style="text-align: left;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"></span></h3>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">
For most SoCs, the existing EDA tools are sufficient for CTS engine to generate
an ideal clock tree. However, this is not always the case.&nbsp; This approach
presented in this paper is suitable for SoCs or IPs, which have few clock
sources and a simple clock architecture with minimum muxing of multiple clocks.<br />
<br />
Today’s microcontrollers generally don’t have such a simple clock
architecture.&nbsp; Microcontrollers designed for the automotive world have
multiple IPs integrated into a single SoC.&nbsp; For example, a single SOC may
have multiple cores, IO peripherals like SPI, DSPI, LIN, DDR interfaces for
multiple automotive control applications. Considering human safety in
automotive SoCs, testing requirements are also very stringent in terms of test
coverage such as atspeed and stuckat.&nbsp; This leads to a very complex
clocking architecture because it requires multiple clock sources (both on SoC
clock sources such as PLLs, IRC oscillators and off SoC clock sources like
EXTAL) and clock dividers in order to supply the required clock frequency to
multiple IPs within a SoC.<br />
<br />
In such cases, CTS engines cannot be relied upon to build a clock tree. Due to
complicated muxing of various clock sources in multiple functional and test
modes , EDA tools sometimes are not able to build the clock tree properly,
often resulting in problems of increased latency, skew mismatch and huge
uncommon clock path problems. <br />
<br />
In the next section some real design case studies are used to illustrate how
current EDA tools might fail to build the clock tree as expected by the
designer and how a backend engineer can help design a robust clock tree either
by providing proactive feedback to architecture designers or to improve the
clock structure at the RT level itself or by using better implementing
techniques</span></div>
<h3>
<b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Case study 1 - Clock logic cloning</span></b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"></span></h3>
<h3 style="text-align: left;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"></span></h3>
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<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">
Suppose a clock tree is required for the following logic.<br />
<br />
In functional mode there is one master clock source <i>func </i>and one
generated clock source gen_clk1. In test modes there is one test clocks
tck1.&nbsp; In functional mode register set 2 is clocked by gen_clk1 but in
test mode, test clock tck1 is used instead. <br />
<br />
The conventional way to define the clock tree spec for this design fragment
would be to define the master clock sources (<i>func </i>and tck1) and
generated clock (gen_clk1) and to define <b><i>through </i></b>pin for
generated clock source so as to balance the latency of the master clock and the
total latency of the generated clock(source latency to register clock pin plus
latency from flop output to register group3). Defining a <b><i>through </i></b>pin
for the generated clock source ensures that a CTS engine does not consider the
generated clock flop as a sink pin and instead traces the clock path through
CK-&gt; Q arc of flop.<br />
<br />
Assume that the latency of <i>func </i>clock while in functional mode is
constrained by register set2 (highlighted in red in figure 2).&nbsp; This will
force a CTS engine to build the generated clock source flop 2 with minimum
latency. This will only be possible if the minimum buffering is done from func
clock source to mux1 input <i>D0 </i>as well as from mux1 output to generated
clock source gen_clk1. In order to balance the latency of register set 1 and
register set 2, the tool will be forced to insert buffering between mux1 output
and register set 1 clock pins.&nbsp; This implementation is correct in
functional mode but will cause problems in test mode.</span></div>
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" /><br /><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"></span></div>
<div align="center" class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; text-align: center;">
<b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Figure 2: Original design</span></b></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: 12.0pt;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"><br />
<b>Test mode CTS</b>:&nbsp; The architecture of the design is such that test
clock tck1 to all register sets 1-3 can be built with very low latency. However
due to functional mode clocking constraints, as explained above, clock latency
for the test clock will be high. The latency for test mode will be constrained
by register set 1 as shown in above diagram by green line.&nbsp; This cannot be
avoided because of the need to balance register set1 and register set 2 latency
in functional mode and buffering can only be done after mux1 output because it
is not possible to increase the latency of the generated clock source. The
consequence of this is that there is no option other than to increase the
latency of register set 2 and register set 3 in test modes.&nbsp; This is a
serious problem because the latency of the test clock is increased because of
functional mode clocking constraints. As discussed above in robust clock tree
guidelines, an increase in clock latency can lead to multiple problems. This
problem cannot be solved using advanced features like MMMC (Multi Mode Multi
Corner)CTS of current EDA tools.<br />
<br />
<b>Solution</b>: The solution to problem lies in cloning the clock logic as
shown in figure 3.&nbsp; EDA tools generally do not implement cloning of
non-buffer logic in the clock path network.&nbsp; The problem can be solved if
there is a separate dedicated clock mux for the generated clock source flop.
The limitation of placing clock buffers after the mux output has been removed
and for register set 1, the clock buffering to balance latency in functional
mode can be done between func clock source and cloned mux input D0.&nbsp; Since
there is now the bare minimum buffering done between cloned mux output D0 and
register set 1, the latency numbers in test mode are not limited by register
set 1 and it is possible to achieve minimum latency in test mode. </span></div>
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&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <img alt="" 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" /><br /><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"></span></div>
<div align="center" class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; text-align: center;">
<b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Figure 3: Modified design with cloned mux</span></b></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: 12.0pt;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"><br /></span></div>
<h3 style="text-align: left;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">
</span><b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 13.5pt; mso-bidi-font-size: 11.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Case study 2 - Clock muxing of two synchronous clocks</span></b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"></span></h3>
<div align="center" class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; text-align: center;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; </span><img alt="" 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" /><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-fareast-font-family: &quot;Times New Roman&quot;; mso-no-proof: yes;"></span><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"></span></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; text-align: center;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<b>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
Figure 4(a)&nbsp;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
Figure 4(b)</b></span></div>
<b>
</b><div class="MsoNormal" style="line-height: normal; margin-bottom: 12.0pt; text-align: center;">
<b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Figure 4:
Design&nbsp; with two synchronous clocks</span></b></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">In this example
clock 1 and clock2 are synchronous to each other. The assumption is that the
minimum latency of both clock1 and clock2 is not limited by register group 1-3,
but by some other clock group (not shown in diagram).<br />
<br />
A typical behavior of most of CTS engines would be to insert clock buffers
after the mux output to register group2 in order to save overall clock buffers.
However this will introduce a problem of larger uncommon path between register
group 1 and register group2 as well as between register group 2 and register
group3. A CTS engine is not intelligent enough to understand that the
architecture ensures that mux select will not toggle on the fly and there
cannot be a case of launch on clock 1 and capture on clock 2 for register
group2.&nbsp; An alternate approach for CTS for these type of cases is shown in
Figure 4(b). In figure 4(b), the clock buffers have been moved for both clock 1
and clock2 before the clock mux in order to have a greater common clock path
between register set 1-2 and register set 2-3. Note that this is under the same
assumption that latency of clocks Clk1 and Clk2 is limited by some other
register group other than 1-3 and extra clock buffers were placed by the CTS
engine after clock mux to balance skew requirements. &nbsp;</span></div>
<h3>
<b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Case study 3 -
Centralized vs decentralized clocking scheme</span></b></h3>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">
There is debate among designers about how to manage clock muxing and clock
divider logic for the SoC. Proponents of a centralized clocking scheme argue
that doing all clock muxing at a single place helps managing things in a better
way, while opponents question this approach citing timing issues that crop up
due to centralized muxing. Both possibilities will be considered.<br />
<br />
Assume there are three IPs and one clock of 200 MHz frequency. The design requirement
says that both IP1 and IP2 require two synchronous 200 MHz and 100 MHz clocks.
Moreover, IP1 and IP2 can handshake data synchronously both at 200 MHz and 100
MHz.&nbsp; Now, there are two options to implement a clocking scheme that meets
this requirement. First is to divide the 200 MHz clock to generate the 100 MHz
clock inside a centralized clocking module and then provide both 200 MHz and
100 MHz clocks to both IPs. The second option is to divide the 200 MHz clock
separately in both IPs.&nbsp; In this scenario, option one is the better option
because IP1 and IP2 both need divided clocks and they are exchanging data
synchronously as well. If division is done independently in both IPs, there is
duplication of the divider logic and there are chances of phase mismatch in the
divided clocks and additional logic may be required to solve this
problem.&nbsp; In this case, a centralized clocking scheme is better than
decentralized one even though there may be some problem of uncommon path
between the 200MHz and 100MHz clocks.<br />
<br />
For IP3, a decentralized clocking scheme is the best approach. IP3 requires
200MHz, 100MHz and 50 MHz clocks and IP3 is exchanging data only with the
external world and not with any other IP within the SoC.&nbsp; In this case
there is no point placing the dividers in one centralized clocking block
because it will introduce uncommon path between all divided clocks. The better
option would be to divide the 200 MHz clock inside IP3 to generate 100MHz and
50MHz clocks. </span></div>
<div align="center" class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; text-align: center;">
<img alt="" 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" /><br /><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"></span></div>
<div align="center" class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; text-align: center;">
<b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Figure 5: centralized and decentralized clocking</span></b></div>
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<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"><br />
<br />
In summary, it might look tempting and convenient to keep all clock muxing and
dividing logic in one place, but in some cases it might introduce timing
closure problems. The better approach is to analyze the impact of
centralized/decentralized clocking on a case to case basis and to take the
appropriate decision after that analysis.<br />
</span></div>
<h3>
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">
</span><b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 13.5pt; mso-bidi-font-size: 11.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Case study 4 - Power vs. timing</span></b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"></span></h3>
<h3 style="text-align: left;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"></span></h3>
<div class="MsoNormal" style="line-height: normal; margin-bottom: 0.0001pt; text-align: justify;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">
A clock tree designer often has to choose between power and timing. One such
example is shown in figure 6. Different CTS engines can behave
differently.&nbsp; The first CTS tools prefers power saving over<br />
uncommon path because when clock gating is done, the maximum number of clock
buffers will stop toggling . The second solution favors timing over power as
both register groups now have the minimum uncommon path. A CTS designer must
choose their preference between power and timing on a case by case basis.
Whatever the tool algorithm, the clock spec can be modified to force the CTS
tool to build the required structure.</span></div>
<div align="center" class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; text-align: center;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"></span><br /><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"></span><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">&nbsp; &nbsp; </span><img alt="" 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" /><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-fareast-font-family: &quot;Times New Roman&quot;; mso-no-proof: yes;"><br /></span><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"></span></div>
<div align="center" class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; text-align: center;">
<b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Figure 6: Alternative ways of building a clock tree</span></b></div>
<h3>
<b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Case study 5 –
Back-to-back clock gating cells</span></b></h3>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">
Many times due to third party IPs and logic synthesis clock gating insertion,
back-to-back clock gating cells may have been created. Because of this, clock
latency to that register group can increase since a clock gating cell typically
has a higher delay than a clock buffer. This can be rectified either by merging
these clock gating cells at the RT level or if that is not possible because of
integration and third-party IP issues, it can also be done during logic
synthesis. Most EDA tools doing logic synthesis have a feature to merge such
back-to-back clock gating cells, but the default is not to merge these clock
gating cells in order to preserve the RTL implementation . This feature can be
used on a case to case basis.</span><br /><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"></span><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp; &nbsp;
</span><img alt="" 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" /></div>
<div align="center" class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; text-align: center;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-fareast-font-family: &quot;Times New Roman&quot;; mso-no-proof: yes;"><br /></span><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"></span></div>
<div align="center" class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in; text-align: center;">
<b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Figure 7: back-to-back clock cells</span></b></div>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"><br />
Recommendations and guidelines/experiments for designing clock trees<br />
For a new design when the clock tree is being constructed for first time, it is
important to know optimum latency and skew numbers. Some suggested experiments
for this include:</span></div>
<ol start="1" type="1">
<li class="MsoNormal" style="line-height: normal; mso-list: l0 level1 lfo3; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Build a clock tree with no skew
balancing requirements. This will force the CTS engine to build a clock
tree&nbsp; to all registers at its lowest latency possible without caring
about skew balancing. The clock path of the register group having the
highest latency should be analyzed in detail because when that clock tree
is going to be built with skew requirements specified, this register group
will determine the latency of that whole clock group. Explore
architectural improvement that can be made to reduce latency for this
register group. This exercise should be repeated for subsequent highest
latency register groups until no further latency improvements can be made.
&nbsp;</span></li>
<li class="MsoNormal" style="line-height: normal; mso-list: l0 level1 lfo3; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">After minimum latency has been
established, skew numbers should be targeted. Two or three experiments,
with different skew numbers, should be performed to see if overall latency
is increasing in order to meet clock skew requirements.&nbsp;
Inappropriate clock buffer selection could be an issue. Skew numbers
should be double checked. Very low skew numbers might look tempting but
too aggressive skew numbers can increase overall clock latency and can
increase peak power dissipation due to all flops toggling at the same
time.</span></li>
<li class="MsoNormal" style="line-height: normal; mso-list: l0 level1 lfo3; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; tab-stops: list .5in;"><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Another suggested way to target
uncommon path problem is to compare timing reports between pre CTS stage
and post CTS stages.&nbsp; Ideally the timing status of a design should
remain the same between pre CTS and post CTS stages because projected
deterioration in the timing profile is already taken care of at pre CTS by
extra clock skew and derate uncertainty.&nbsp; If timing violation are
seen after post CTS stage and a clock tree with respectable skew numbers
has been built, the culprit is probably a huge uncommon path between
launch and capture registers. Root cause analysis of the uncommon path
should be done to determine if architectural improvements can be made to
reduce the uncommon path.</span></li>
</ol>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"><br /></span></div>
<h4>
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">
</span><b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 13.5pt; mso-bidi-font-size: 11.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">Conclusion</span></b><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"></span></h4>
<h4 style="text-align: left;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;"></span></h4>
<div class="MsoNormal" style="line-height: normal; margin-bottom: .0001pt; margin-bottom: 0in;">
<span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 12.0pt; mso-bidi-language: HI; mso-fareast-font-family: &quot;Times New Roman&quot;;">
The case studies, guidelines and experiments are neither compulsory nor
exhaustive enough to cover all aspects of an ideal clock tree. Moreover, there
are a lot of other issues such as signal integrity and clock gate ratio which
have not been considered. These could be important, particularly in smaller
technology nodes. This article should serve as an eye opener to change the
perception about how CTS activity is taken generally in our design cycle. With
timing margins being reduced, it has become very important to scrutinize the
clock tree architecture thoroughly and look for every single possibility of
improving clock structure.</span></div>
</div>
</description><link>http://vlsi-physical-design-and-vlsi-basics.blogspot.com/2013/07/designing-robust-clock-tree-structure_680.html</link><author>noreply@blogger.com (Anonymous)</author><thr:total>0</thr:total></item><item><guid isPermaLink="false">tag:blogger.com,1999:blog-3882524455347440601.post-3679994103073306085</guid><pubDate>Thu, 04 Jul 2013 13:34:00 +0000</pubDate><atom:updated>2013-07-04T06:36:16.722-07:00</atom:updated><category domain="http://www.blogger.com/atom/ns#">capacitance</category><category domain="http://www.blogger.com/atom/ns#">cmos</category><category domain="http://www.blogger.com/atom/ns#">how to read spef</category><category domain="http://www.blogger.com/atom/ns#">parasitic</category><category domain="http://www.blogger.com/atom/ns#">physical design</category><category domain="http://www.blogger.com/atom/ns#">resistance</category><category domain="http://www.blogger.com/atom/ns#">spef</category><category domain="http://www.blogger.com/atom/ns#">trasistor</category><category domain="http://www.blogger.com/atom/ns#">vlsi</category><title>How to Read SPEF File</title><description><div dir="ltr" style="text-align: left;" trbidi="on">
SPEF (Standard Parasitic Exchange Format) is documented in chapter 9
of IEEE 1481-1999. Several methods of describing parasitics are
documented, but we are discussing only few important one.<br />
<h3 style="text-align: left;">
<b>General Syntax</b></h3>
A typical SPEF file will have 4 main sections<br />
<ol>
<li>– a header section,</li>
<li>– a name map section,</li>
<li>– a top level port section and</li>
<li>– the main parasitic description section.</li>
</ol>
Generally, SPEF keywords are preceded with a *. For example, *R_UNIT, *NAME_MAP and *D_NET.<br />
Comments start anywhere on a line with // and run to the end of the line. Each line in a block of comments must start with //.<br />
<h3 style="text-align: left;">
<b>Header Information</b></h3>
The header section is 14 lines containing information about<br />
<ol>
<li>– the design name,</li>
<li>– the parasitic extraction tool,</li>
<li>– naming styles</li>
<li>– and units.</li>
</ol>
When reading SPEF, it is important to check the header for units as
they vary across tools. By default, SPEF from Astro will be in pF and
kOhm while SPEF from Star-RCXT will be in fF and Ohm.<br />
<h3 style="text-align: left;">
<b>Name Map Section</b></h3>
To reduce file size, SPEF allows long names to be mapped to shorter
numbers preceded by a *. This mapping is defined in the name map
section. For example:<br />
<div class="rteindent1">
*NAME_MAP</div>
<div class="rteindent1">
*509 F_C_EP2</div>
<div class="rteindent1">
*510 F_C_EP3</div>
<div class="rteindent1">
*511 F_C_EP4</div>
<div class="rteindent1">
*512 F_C_EP5</div>
<div class="rteindent1">
*513 TOP/BUF_ZCLK_2_pin_Z_1</div>
<div class="rteindent1">
*514 TOP/BUF_ZCLK_3_pin_Z_1</div>
<div class="rteindent1">
*515 TOP/BUF_ZCLK_4_pin_Z_1</div>
Later in the file, F_C_EP2 can be referred to by its name or by *509.
Name mapping in SPEF is not required. Also, mapped and non-mapped names
can appear in the same file. Typically, short names such as a pin named
A will not be mapped as mapping would not reduce file size. You can
write a script will map the numbers back into names. This will make SPEF
easier to read, but greatly increase file size.<br />
<h3 style="text-align: left;">
<b>Port Section</b></h3>
The port section is simply a list of the top level ports in a design.
They are also annotated as input, output or bidirect with an I, O or B.
For example:<br />
<div class="rteindent1">
*PORTS</div>
<div class="rteindent1">
*1 I</div>
<div class="rteindent1">
*2 I</div>
<div class="rteindent1">
*3 O</div>
<div class="rteindent1">
*4 O</div>
<div class="rteindent1">
*5 O</div>
<div class="rteindent1">
*6 O</div>
<div class="rteindent1">
*7 O</div>
<div class="rteindent1">
*8 B</div>
<div class="rteindent1">
*9 B</div>
<h3 style="text-align: left;">
<b>Parasitics</b></h3>
Each extracted net will have a *D_NET section. This will usually
consist of a *D_NET line, a *CONN section, a *CAP section, *RES section
and a *END line. Single pin nets will not have a *RES section. Nets
connected by abutting pins will not have a *CAP section.<br />
*D_NET regcontrol_top/GRC/n13345 1.94482<br />
*CONN<br />
*I regcontrol_top/GRC/U9743:E I *C 537.855 9150.11 *L 3.70000<br />
*I regcontrol_top/GRC/U9409:A I *C 540.735 9146.02 *L 5.40000<br />
*I regcontrol_top/GRC/U9407:Z O *C 549.370 9149.88 *D OR2M1P<br />
*CAP<br />
1 regcontrol_top/GRC/U9743:E 0.936057<br />
2 regcontrol_top/GRC/U9409:A regcontrol_top/GRC/U10716:Z 0.622675<br />
3 regcontrol_top/GRC/U9407:Z 0.386093<br />
*RES<br />
1 regcontrol_top/GRC/U9743:E regcontrol_top/GRC/U9407:Z 10.7916<br />
2 regcontrol_top/GRC/U9743:E regcontrol_top/GRC/U9409:A 8.07710<br />
3 regcontrol_top/GRC/U9409:A regcontrol_top/GRC/U9407:Z 11.9156<br />
*END<br />
The *D_NET line tells the net name and the net's total capacitance.
This capacitance will be the sum of all the capacitances in the *CAP
section.<br />
<h3 style="text-align: left;">
<b>*CONN Section</b></h3>
The *CONN section lists the pins connected to the net. A connection
to a cell instance starts with a *I. A connection to a top level port
starts with a *P.<br />
The syntax of the *CONN entries is:<br />
*I &lt;pin name&gt; &lt;direction&gt; *C &lt;xy coordinate&gt; &lt;loading or driving information&gt;<br />
Where:<br />
– The pin name is the name of the pin.<br />
– The direction will be I, O or B for input, output or bidirect.<br />
– The xy coordinate will be the location of the pin in the layout.<br />
– For an input, the loading information will be *L and the pin's capacitance.<br />
– For an output, the driving information will be *D and the driving cell's type.<br />
– Coordinates for *P port entries may not be accurate because some
extraction tools look for the physical location of the logical port
(which does not exist) rather then the location of the corresponding
pin.<br />
<h3 style="text-align: left;">
<b>*CAP Section</b></h3>
The *CAP section provides detailed capacitance information for the
net. Entries in the *CAP section come in two forms, one for a capacitor
lumped to ground and one for a coupled capacitor.<br />
A capacitor lumped to ground has three fields,<br />
– an identifying integer,<br />
– a node name and<br />
– the capacitance value of this node<br />
– e.g<br />
o 1 regcontrol_top/GRC/U9743:E 0.936057<br />
A coupling capacitor has four fields,<br />
– an identifying integer,<br />
– two node names and<br />
– The values of the coupling capacitor between these two nodes<br />
– E.g<br />
o 2 regcontrol_top/GRC/U9409:A regcontrol_top/GRC/U10716:Z 0.622675<br />
If netA is coupled to netB, the coupling capacitor will be listed in each net's *CAP section.<br />
<h3 style="text-align: left;">
<b>*RES Section</b></h3>
The *RES section provides the resistance network for the net.<br />
Entries in *RES section contain 4 fields,<br />
– an identifying integer,<br />
– two node names and<br />
– the resistance between these two nodes.<br />
– E.g<br />
o 1 regcontrol_top/GRC/U9743:E regcontrol_top/GRC/U9407:Z 10.7916<br />
The resistance network for a net can be very complex. SPEF can
contain resistor loops or seemingly ridiculously huge resistors even if
the layout is a simple point to point route. This is due how the
extraction tool cuts nets into tiny pieces for extraction and then
mathematically stitches them back together when writing SPEF.<br />
<h3 style="text-align: left;">
<b>Parasitic Values</b></h3>
The above examples show a single parasitic value for each capacitor
or resistor. It is up to the parasitic extraction and delay calculation
flow to decide which corner this value represents. SPEF also allows for
min:typ:max values to be reported:<br />
1 regcontrol_top/GRC/U9743:E 0.936057:1.02342:1.31343<br />
The IEEE standard requires either 1 or 3 values to be reported.
However, some tools will report min:max pairs and it is expected that
tools may report many corners (corner1:corner2:corner3:corner4) in the
future.</div>
</description><link>http://vlsi-physical-design-and-vlsi-basics.blogspot.com/2013/07/how-to-read-spef-file.html</link><author>noreply@blogger.com (Anonymous)</author><thr:total>0</thr:total></item><item><guid isPermaLink="false">tag:blogger.com,1999:blog-3882524455347440601.post-7099379576805434897</guid><pubDate>Thu, 04 Jul 2013 13:26:00 +0000</pubDate><atom:updated>2013-07-04T06:26:41.217-07:00</atom:updated><category domain="http://www.blogger.com/atom/ns#">decap cell</category><category domain="http://www.blogger.com/atom/ns#">end cap cell</category><category domain="http://www.blogger.com/atom/ns#">ir drop analysis</category><category domain="http://www.blogger.com/atom/ns#">nwell</category><category domain="http://www.blogger.com/atom/ns#">physical design</category><category domain="http://www.blogger.com/atom/ns#">power analysis</category><category domain="http://www.blogger.com/atom/ns#">substrate</category><category domain="http://www.blogger.com/atom/ns#">vlsi</category><category domain="http://www.blogger.com/atom/ns#">well tap cell</category><title>Different types of cells in Vlsi physical design </title><description><div dir="ltr" style="text-align: left;" trbidi="on">
<h2 class="post-title entry-title" itemprop="name" style="text-align: left;">
<u>Tap cell, Decap cell and end cap cells
</u></h2>
<div class="post-header">
</div>
<h3 style="text-align: left;">
&nbsp;
Well Tap Cells</h3>
These library cells connect the power and ground connections to the substrate and n-wells, respectively.<br />
<br />
By placing well taps at regular intervals throughout the design, the
n-well potential is held constant for proper electrical functioning.<br />
The placer places the cells in accordance to the specified distances and automatically snaps<br />
them to legal positions (which are the core sites).<br />
<br />
<br /><h3 style="text-align: left;">
&nbsp;
End Cap Cells </h3>
These library cells do not have signal connectivity. They connect only
to the power and ground rails once power rails are created in the
design.<br />
They also ensure that gaps do not occur between the well and implant layers.<br />
This prevents DRC violations by satisfying well tie-off requirements for the core rows.<br />
Each end of the core row, left and right, can have only one end cap cell specified. However, you<br />
can specify a list of different end caps for inserting horizontal end cap lines, which terminate the<br />
top and bottom boundaries of objects such as macros.<br />
A core row can be fragmented (contains gaps), since rows do not intersect objects such as power<br />
domains. For this, the tool places end cap cells on both ends of the unfragmented segment.<br />
<br />
<br /><h3 style="text-align: left;">
Decap cells:</h3>
cells are temporary capacitors added in the design between power and
ground rails to counter functional failures due to dynamic IR
drop.Dynamic I.R. drop happens at the active edge of the clock at which a
high percentage of Sequential and Digital elements switch.Due to this
simultaneous switching a high current is drawn from the power grid for a
small duration.If the power source is far away from a flop the chances
are that this flop can go into a metastable state due to IR Drop.To
overcome this decaps are added. At an active edge of clock when the
current requirement is high , these decaps discharge and provide boost
to the power grid. One caveat in usage of decaps is that these add to
leakage current. De caps are placed as fillers. The closer they are to
the flop’s sequential elements, the better it is.<br />
<br />
<br />
Decap cells are typically poly gate transistors where source and drain
are connected to the ground rail, and the gate is connected to the power
rail. <br />
<br />
when there is an instantaneous switching activity the charge required
moves from intrinsic and extrinsic local charge reservoirs as oppose to
voltage sources. Extrinsic capacitances are decap cells placed in the
design. Intrinsic capacitances are those present naturally in the
circuit, such as the grid capacitance, the variable capacitance inside
nearby logic, and the neighborhood loading capacitance exposed when the P
or N channel are open.<br />
<br />
One drawback of decap cells is that they are very leaky, so the more
decap cells the more leakage. Another drawback, which many designers
ignore, is the interaction of the decap cells with the package RLC
network. Since the die is essentially a capacitor with very small R and
L, and the package is a hug RL network, the more decap cells placed the
more chance of tuning the circuit into its resonance frequency. That
would be trouble, since both VDD and GND will be oscillating. I have
seen designs fail because of this<br />
<br />
Designers typically place decap cells near high activity clock buffers,
but I recommend a decap optimization flow where tools study charge
requirements at every moment in time and figure out how much decap to
place at any node. This should be done while taking package models into
account to ensure resonance frequency is not hit.</div>
</description><link>http://vlsi-physical-design-and-vlsi-basics.blogspot.com/2013/07/different-types-of-cells-in-vlsi.html</link><author>noreply@blogger.com (Anonymous)</author><thr:total>1</thr:total></item></channel></rss>
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