<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><feed xmlns='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'><id>tag:blogger.com,1999:blog-2364129845583749915</id><updated>2024-08-29T01:07:31.014-07:00</updated><category term="QnA"/><category term="Learn Verilog"/><category term="Circuit Theory"/><category term="Learn TCL"/><category term="Layout Design Rules"/><category term="News"/><title type='text'>VLSI Digest</title><subtitle type='html'>A one-stop destination for VLSI related concepts, queries, and news. </subtitle><link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/posts/default'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default?redirect=false'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/'/><link rel='hub' href='http://pubsubhubbub.appspot.com/'/><link rel='next' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default?start-index=26&amp;max-results=25&amp;redirect=false'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><generator version='7.00' uri='http://www.blogger.com'>Blogger</generator><openSearch:totalResults>64</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>25</openSearch:itemsPerPage><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-1851881745068601102</id><published>2021-04-07T01:17:00.003-07:00</published><updated>2021-04-07T01:17:41.227-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="News"/><title type='text'>Why there is a massive chip shortage in the semiconductor industry?</title><content type='html'>&lt;ul style=&quot;text-align: left;&quot;&gt;&lt;li&gt;Potential factors like economic disruption due to COVID-19, working from home, wafer yield issues, and shortage for 200 mm wafer capacities in foundries are some of the potential reasons why we are seeing a sudden surge in demand and a severe shortage in supply.&lt;/li&gt;&lt;li&gt;Over the last 30 years, silicon wafer size has grown from 1-inch to 300 mm wafer size (which is 11.8 times larger than 1 inch). 300 mm wafers are invariably used for manufacturing leading-edge silicon IC’s, but this doesn’t benefit many customers.&lt;/li&gt;&lt;li&gt;The reason being these design companies don’t see much profitability in lower node technologies and hence they want to continue with their current fab.&lt;/li&gt;&lt;li&gt;200 mm (8-inch in diameter) fabs are older facilities that manufacture chips at mature nodes (350 nm to 90 nm), whereas 300 mm fabs are used for manufacturing chips designed on lower nodes (65 nm and below), but it is not restricted just to lower nodes.&lt;/li&gt;&lt;li&gt;Moving design from one fab to another incur huge cost.&lt;/li&gt;&lt;li&gt;Since many people are working from home, there is a huge demand for computers, tablets, TV, Wi-Fi, Bluetooth, and many automotive electronics. And the current fab capacity limit is making it difficult to meet the supply request.&lt;/li&gt;&lt;li&gt;The semiconductor industry is at a critical juncture where the demand from general household and partner companies is shooting up with a huge potential for revenue generation in 2021 (at least 12% growth), but at the same time, the supply chain is in the spotlight restricted by limited capability and lower investment.&lt;/li&gt;&lt;/ul&gt; </content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/1851881745068601102/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2021/04/why-there-is-massive-chip-shortage-in.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/1851881745068601102'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/1851881745068601102'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2021/04/why-there-is-massive-chip-shortage-in.html' title='Why there is a massive chip shortage in the semiconductor industry?'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-3166548253208084233</id><published>2021-04-06T12:07:00.002-07:00</published><updated>2021-04-06T12:07:08.645-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Learn TCL"/><title type='text'>Tcl Programming Language | Lecture 1 | Basics</title><content type='html'>&lt;iframe width=&quot;480&quot; height=&quot;270&quot; src=&quot;https://youtube.com/embed/hmZGBNk5tdA&quot; frameborder=&quot;0&quot;&gt;&lt;/iframe&gt;</content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/3166548253208084233/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2021/04/tcl-programming-language-lecture-1.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/3166548253208084233'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/3166548253208084233'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2021/04/tcl-programming-language-lecture-1.html' title='Tcl Programming Language | Lecture 1 | Basics'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://img.youtube.com/vi/hmZGBNk5tdA/default.jpg" height="72" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-213836297896910610</id><published>2021-04-04T11:27:00.006-07:00</published><updated>2021-04-04T11:27:45.359-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Layout Design Rules"/><title type='text'>Micron Rules and Lambda Design rules</title><content type='html'>&lt;p&gt;&lt;b&gt;Micron Rules:&lt;/b&gt; This specifies the layout constraints such as minimum feature sizes and minimum feature separations in terms of absolute dimensions.&lt;/p&gt;&lt;p&gt;&lt;b&gt;Lambda Rules:&lt;/b&gt; This specifies the layout constraints in terms of a single parameter (𝝀) and thus allows linear and proportional scaling of all geometrical constraints.&lt;br /&gt;Example:- Minimum Poly width: 4𝝀&lt;/p&gt;</content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/213836297896910610/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2021/04/micron-rules-and-lambda-design-rules.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/213836297896910610'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/213836297896910610'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2021/04/micron-rules-and-lambda-design-rules.html' title='Micron Rules and Lambda Design rules'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-6708959112431165097</id><published>2020-09-08T09:30:00.001-07:00</published><updated>2020-09-08T09:33:01.306-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Circuit Theory"/><title type='text'>Types of element?</title><content type='html'>&lt;b&gt;1. Active and Passive element:&lt;/b&gt;&lt;div&gt;Active devices are the one which &lt;b&gt;generates&lt;/b&gt; (or) &lt;b&gt;amplify&lt;/b&gt; (or) &lt;b&gt;rectify&lt;/b&gt; any signals (Voltage source, Current source, Diode, Transistor, DIAC, SCR, Op-Amp, etc)&lt;/div&gt;&lt;div&gt;Rest all devices are called a passive device (R, L, C, Transformer).&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;Note: Amplification here is in terms of the power signal and hence transformer cannot be put under the category of the active device as the power is constant in both the primary and secondary side of the transformer (I1V1 = I2V2).&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;div&gt;&lt;b&gt;2. Linear and Non-Linear:&lt;/b&gt;&lt;/div&gt;&lt;div&gt;Linear devices are the one which obeys the law of superposition and homogeneity.&amp;nbsp;&lt;/div&gt;&lt;div&gt;(Or) To put this simply, any straight line passing through the origin is called a linear element (R, L, C).&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;Non-linear element examples are diode, SCR, DIAC, etc.&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;3. Bilateral and Unilateral:&lt;/b&gt;&lt;/div&gt;&lt;div&gt;Any bilateral element (e.g. R, DIAC) will have similar characteristics in the 1st and 3rd quadrant of the graph else it will be a unilateral element (e.g. Diode).&lt;/div&gt;&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;&lt;a href=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgOTIRQmpsfOpqsEhSqTQMs8PvxKTADFgXNTqptVEhpr49ue8WvcIUboxufbRIVUU04xGuM0b88CgQIFfNfuBUFV0uaMKX2aohfnc4UL9z-yP3F6mnEhaCzq3vRPiu53Pq0ZJnL9WSfyy8f/s756/Element.png&quot; style=&quot;clear: left; float: left; margin-bottom: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; data-original-height=&quot;387&quot; data-original-width=&quot;756&quot; height=&quot;205&quot; src=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgOTIRQmpsfOpqsEhSqTQMs8PvxKTADFgXNTqptVEhpr49ue8WvcIUboxufbRIVUU04xGuM0b88CgQIFfNfuBUFV0uaMKX2aohfnc4UL9z-yP3F6mnEhaCzq3vRPiu53Pq0ZJnL9WSfyy8f/w400-h205/Element.png&quot; width=&quot;400&quot; /&gt;&lt;/a&gt;&lt;/div&gt;&lt;br /&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;4. Time-Variant and Time-Invariant&lt;/div&gt;&lt;div&gt;5. Lumped and Distributed&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;Let&#39;s understand these concepts on a graph (I vs V):-&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;&lt;a href=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjsF8V2RE-Q3y7kCAkEqC-aNzC00SZPUfppnKFuMRHCed9B_Tqx9eicO6Bz1Q5qUeiw0543QPkU65bn1lw7Wn5k0bVtP6umrhintKjWmx6X_fVRDsyq6jNBOu1ILNfn8pyWcA3M07NSVEF4/s1189/example.png&quot; style=&quot;clear: left; float: left; margin-bottom: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; data-original-height=&quot;622&quot; data-original-width=&quot;1189&quot; height=&quot;261&quot; src=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjsF8V2RE-Q3y7kCAkEqC-aNzC00SZPUfppnKFuMRHCed9B_Tqx9eicO6Bz1Q5qUeiw0543QPkU65bn1lw7Wn5k0bVtP6umrhintKjWmx6X_fVRDsyq6jNBOu1ILNfn8pyWcA3M07NSVEF4/w500-h261/example.png&quot; width=&quot;500&quot; /&gt;&lt;/a&gt;&lt;/div&gt;&lt;br /&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/6708959112431165097/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2020/09/types-of-element.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/6708959112431165097'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/6708959112431165097'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2020/09/types-of-element.html' title='Types of element?'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgOTIRQmpsfOpqsEhSqTQMs8PvxKTADFgXNTqptVEhpr49ue8WvcIUboxufbRIVUU04xGuM0b88CgQIFfNfuBUFV0uaMKX2aohfnc4UL9z-yP3F6mnEhaCzq3vRPiu53Pq0ZJnL9WSfyy8f/s72-w400-h205-c/Element.png" height="72" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-8085772245347864034</id><published>2020-09-08T08:22:00.005-07:00</published><updated>2020-09-08T08:24:09.880-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="QnA"/><title type='text'>Latch-Up Effect?</title><content type='html'>&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;&lt;a href=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhKrnNNpw1Vm4KFNOLwYK4lsROVFV2me7z2qDZx1khyphenhyphen1LGCwtEk-lbFujGDzMJFFYBBlacpXSz6cxCwmkydUYaEZtWqQ2-aIuJ6fkmTsxTkQ65Egd-CXQV61-QGmTgie6-_hE0e77XAHp53/s1244/latch-up.png&quot; style=&quot;clear: left; float: left; margin-bottom: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; data-original-height=&quot;647&quot; data-original-width=&quot;1244&quot; height=&quot;260&quot; src=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhKrnNNpw1Vm4KFNOLwYK4lsROVFV2me7z2qDZx1khyphenhyphen1LGCwtEk-lbFujGDzMJFFYBBlacpXSz6cxCwmkydUYaEZtWqQ2-aIuJ6fkmTsxTkQ65Egd-CXQV61-QGmTgie6-_hE0e77XAHp53/w500-h260/latch-up.png&quot; width=&quot;500&quot; /&gt;&lt;/a&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;As can be seen in the above snapshot, resistance connected to the bases of NPN transistors and collectors of the PNP transistors greatly influences both ESD and Latch-Up effect in the layout. Furthermore, latch-up is sensitive to layout and hence most often solved at the layout level when doing the physical implementation of the design.&lt;/div&gt;&lt;br /&gt;&lt;b&gt;What is latch-up?&lt;/b&gt; &lt;br /&gt;Latch-up is the creation of low impedance path between the power supply rails (e.g. vdd to gnd in the above case). It is caused when the parasitic BJT structures within an IC are triggered when a current/voltage is applied as stimulus in the input, output or I/O pin. &lt;br /&gt;&lt;br /&gt;Sometime it also happen that the latch-up occur only while the pulse stimulus is connected to the IC and returns back to normal level once the stimulus is removed. Such an effect is called &lt;b&gt;temporary (or) transient latch-up.&lt;/b&gt; &lt;br /&gt;&lt;br /&gt;While a &lt;b&gt;true latch-up&lt;/b&gt; is a one which remains even after the stimulus is removed. In such scenarios to remove the low impedance path between the power rails, a power supply shutdown is required. &lt;br /&gt;&lt;br /&gt;&lt;b&gt;How does it occur? &lt;/b&gt;&lt;br /&gt;Latch-up is a regenerative process that occur when a pnpn structure (aka silicon controlled rectifier (SCR)) is formed. It is composed of parasitic npn and pnp transistor.&amp;nbsp;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;&lt;a href=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi-wyDljEMXbPtfz1EWCabzubpY-WGcraOy50BO0StJwgsej84sVwTGNZeHadK2QsgMwOjBpHWqty7NYeotpyO3PJ4p1Ka1rKVgJDP0tFJ6RQm6U48JdJ0mUdQD0GxFMfdqbQ5l4BQdzvqn/s813/pnpn_graph.png&quot; style=&quot;clear: left; float: left; margin-bottom: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; data-original-height=&quot;538&quot; data-original-width=&quot;813&quot; height=&quot;265&quot; src=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi-wyDljEMXbPtfz1EWCabzubpY-WGcraOy50BO0StJwgsej84sVwTGNZeHadK2QsgMwOjBpHWqty7NYeotpyO3PJ4p1Ka1rKVgJDP0tFJ6RQm6U48JdJ0mUdQD0GxFMfdqbQ5l4BQdzvqn/w400-h265/pnpn_graph.png&quot; width=&quot;400&quot; /&gt;&lt;/a&gt;&lt;/div&gt;&lt;br /&gt;&lt;div&gt;&lt;br /&gt;&lt;br /&gt;&lt;b&gt;&lt;br /&gt;&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;&lt;br /&gt;&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;&lt;br /&gt;&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;&lt;br /&gt;&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;&lt;br /&gt;&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;&lt;br /&gt;&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;&lt;br /&gt;&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;&lt;br /&gt;&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;&lt;br /&gt;&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;&lt;br /&gt;&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;&lt;br /&gt;&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;&lt;br /&gt;&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;To avoid latch-up: &lt;/b&gt;&lt;br /&gt;&lt;ol&gt;&lt;li&gt;Vpnpn &amp;lt;= Vs (Sustaining Voltage)&lt;/li&gt;&lt;li&gt;Injecting current &amp;lt; Holding current (IH)&lt;/li&gt;&lt;/ol&gt;&lt;b&gt;Prevention Technique: &lt;/b&gt;&lt;br /&gt;&lt;ol&gt;&lt;li&gt;Surround the transistor with guard rings.&lt;/li&gt;&lt;li&gt;Reduce Rn and Rp. This will cause more current requirement for latch-up to occur. &lt;/li&gt;&lt;/ol&gt;&lt;b&gt;&lt;span style=&quot;color: red;&quot;&gt;What are guard rings?&amp;nbsp;&lt;/span&gt;&lt;/b&gt;&lt;div&gt;Guard rings are used to collect majority (or) minority carriers flowing in the silicon. Tuning the doping level of the guard ring material helps in increasing or decreasing the resistance in the area of guard ring.&lt;/div&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/8085772245347864034/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2020/09/as-can-be-seen-in-above-snapshot.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/8085772245347864034'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/8085772245347864034'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2020/09/as-can-be-seen-in-above-snapshot.html' title='Latch-Up Effect?'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhKrnNNpw1Vm4KFNOLwYK4lsROVFV2me7z2qDZx1khyphenhyphen1LGCwtEk-lbFujGDzMJFFYBBlacpXSz6cxCwmkydUYaEZtWqQ2-aIuJ6fkmTsxTkQ65Egd-CXQV61-QGmTgie6-_hE0e77XAHp53/s72-w500-h260-c/latch-up.png" height="72" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-1344058321800017294</id><published>2020-09-02T11:41:00.002-07:00</published><updated>2020-09-02T11:41:46.099-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="QnA"/><title type='text'>Shallow Trench Isolation (STI)</title><content type='html'>&lt;p&gt;&lt;/p&gt;&lt;ul style=&quot;text-align: left;&quot;&gt;&lt;li&gt;Isolation technique to prevent current leakage between adjacent semiconductor device.&lt;/li&gt;&lt;li&gt;Hence, prevents latch-up.&lt;/li&gt;&lt;li&gt;MOSFET&#39;s are also called self-isolating devices but as the transistor size decreases the use of reverse bias pn-junction to isolate transistor becomes impractical.&lt;/li&gt;&lt;li&gt;STI allows closer spacing of transistors.&lt;/li&gt;&lt;li&gt;In scenarios as n+ &amp;amp; p+ spacing gets smaller, birds beak shape characteristic is formed which leads to undesirable stress effects in the transistor.&amp;nbsp;&lt;/li&gt;&lt;li&gt;STI has the advantage of minimizing the heat cycle needed for n+ and p+ isolation.&lt;/li&gt;&lt;li&gt;Additionally, it also reduces substrate noise coupling.&amp;nbsp;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;/p&gt;</content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/1344058321800017294/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2020/09/shallow-trench-isolation-sti.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/1344058321800017294'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/1344058321800017294'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2020/09/shallow-trench-isolation-sti.html' title='Shallow Trench Isolation (STI)'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-7265674429591485835</id><published>2020-08-30T23:24:00.000-07:00</published><updated>2020-08-30T23:24:35.525-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="QnA"/><title type='text'>Submicron, Deep Submicron, Ultra Deep Submicron</title><content type='html'>&lt;p&gt;CMOS Technology Categories:-&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;ol style=&quot;text-align: left;&quot;&gt;&lt;li&gt;Submicron: L &amp;gt;= 350 nm&lt;/li&gt;&lt;li&gt;Deep Submicron: 100 nm &amp;lt;= L &amp;lt;= 350 nm&lt;/li&gt;&lt;li&gt;Ultra Deep Submicron: L &amp;lt;= 100 nm&lt;/li&gt;&lt;/ol&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;img alt=&quot;&quot; height=&quot;360&quot; src=&quot;data:image/png;base64,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&quot; width=&quot;593&quot; /&gt;&lt;/p&gt;&lt;p&gt;Source:&amp;nbsp;&lt;a href=&quot;https://aicdesign.org/&quot;&gt;https://aicdesign.org/&lt;/a&gt;&lt;/p&gt;</content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/7265674429591485835/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2020/08/submicron-deep-submicron-ultra-deep.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/7265674429591485835'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/7265674429591485835'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2020/08/submicron-deep-submicron-ultra-deep.html' title='Submicron, Deep Submicron, Ultra Deep Submicron'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-6511901291584652944</id><published>2020-08-30T22:21:00.004-07:00</published><updated>2020-08-30T22:21:52.277-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="QnA"/><title type='text'>Principle, Concept, Technique, Assumption</title><content type='html'>&lt;p&gt;&lt;b&gt;Principles:&lt;/b&gt; Fundamental laws (or) facts that never change.&lt;/p&gt;&lt;p&gt;&lt;b&gt;Concepts: &lt;/b&gt;Soft-laws, things worth remembering, abstract idea.&lt;/p&gt;&lt;p&gt;&lt;b&gt;Techniques:&lt;/b&gt; Method, tool, tricks, assumption to simplify things.&lt;/p&gt;&lt;p&gt;&lt;b&gt;Assumptions:&lt;/b&gt; Taking something to be true without formal proof.&lt;/p&gt;&lt;p&gt;**Goal of making assumptions is to eliminate the non-essential information from the essential information.&lt;/p&gt;</content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/6511901291584652944/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2020/08/principle-concept-technique-assumption.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/6511901291584652944'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/6511901291584652944'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2020/08/principle-concept-technique-assumption.html' title='Principle, Concept, Technique, Assumption'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-8408153071771726363</id><published>2020-08-30T22:15:00.000-07:00</published><updated>2020-08-30T22:15:17.202-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="QnA"/><title type='text'>Analog IC Design Process?</title><content type='html'>&lt;p&gt;&amp;nbsp;Broadly analog IC design process can be classified into the following steps:-&lt;/p&gt;&lt;p&gt;&lt;b&gt;1. Electrical Design: &lt;/b&gt;It is a process of designing a circuit solution to meet the required specification. Electrical design requires electrical models for creating the design, verifying the design, and to also determine the robustness of the design.&lt;/p&gt;&lt;p&gt;&lt;b&gt;2. Physical Design:&lt;/b&gt; It is the process of representing the electrical design in the form of a layout (i.e. putting together various distinct geometrical rectangles at various levels). This layout is then used to create a 3-dimensional integrated circuit (IC) through a process called fabrication.&lt;/p&gt;&lt;p&gt;&lt;b&gt;3. Packaging: &lt;/b&gt;Packaging is done to protect the IC, power the IC, and provide electrical &amp;amp; mechanical connections between the IC and the outside world.&lt;/p&gt;&lt;p&gt;&lt;b&gt;4. Testing:&lt;/b&gt; Process of measuring the IC performance i.e. to compare the experimental performance with the specifications and the simulation results.&lt;/p&gt;</content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/8408153071771726363/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2020/08/analog-ic-design-process.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/8408153071771726363'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/8408153071771726363'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2020/08/analog-ic-design-process.html' title='Analog IC Design Process?'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-5669667622852203827</id><published>2020-08-18T06:17:00.006-07:00</published><updated>2020-08-18T21:52:46.814-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Circuit Theory"/><title type='text'>Charge and Current</title><content type='html'>&lt;p&gt;&lt;b&gt;Charge:&lt;/b&gt; It is the most basic quantity which is responsible for the electric phenomenon.&lt;/p&gt;&lt;p&gt;An atom is a combination of proton, electron, and neutron. The magnitude of an electron is &lt;b&gt;1.6 x 10e-19 Coulombs&amp;nbsp;&lt;/b&gt;and 1 coulomb, therefore, has &lt;b&gt;6.24 x 10e18 electrons. &lt;/b&gt;The conventional direction of the current is opposite to the negative charge (i.e. electron).&lt;/p&gt;&lt;p&gt;&lt;span face=&quot;&quot; style=&quot;background-color: white; font-family: arial, sans-serif; font-size: 10pt; text-indent: 0in;&quot;&gt;i=dq(t)/dt&lt;b&gt;&amp;nbsp;(or)&amp;nbsp;&lt;/b&gt;q=∫i(t).dt&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Current:&lt;/b&gt; It is the time rate of change of electric charge.&lt;/p&gt;&lt;p&gt;&lt;img alt=&quot;&quot; src=&quot;data:image/png;base64,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&quot; /&gt;&lt;/p&gt;</content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/5669667622852203827/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2020/08/charge-and-current.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/5669667622852203827'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/5669667622852203827'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2020/08/charge-and-current.html' title='Charge and Current'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-1420926920036933916</id><published>2020-08-18T06:17:00.003-07:00</published><updated>2020-08-18T21:46:05.204-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Circuit Theory"/><title type='text'>Power and Energy</title><content type='html'>&lt;p&gt;&lt;b&gt;Power:-&lt;/b&gt; Rate of change of energy.&lt;/p&gt;&lt;p class=&quot;MsoNormal&quot; style=&quot;background: white; margin-bottom: 3.0pt; margin-left: 0in; margin-right: 0in; margin-top: 0in; mso-list: l0 level1 lfo1; tab-stops: list .5in; text-indent: 0in;&quot;&gt;&lt;!--[if !supportLists]--&gt;&lt;span style=&quot;font-family: Symbol; font-size: 10pt;&quot;&gt;·&lt;span style=&quot;font-family: &amp;quot;Times New Roman&amp;quot;; font-size: 7pt; font-stretch: normal; font-variant-east-asian: normal; font-variant-numeric: normal; line-height: normal;&quot;&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;
&lt;/span&gt;&lt;/span&gt;&lt;!--[endif]--&gt;&lt;span style=&quot;font-family: Arial, sans-serif; font-size: 10pt;&quot;&gt;P=dW/dt&amp;nbsp;(Watt)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class=&quot;MsoNormal&quot; style=&quot;background: white; margin-bottom: 3.0pt; margin-left: 0in; margin-right: 0in; margin-top: 0in; mso-list: l0 level1 lfo1; tab-stops: list .5in; text-indent: 0in;&quot;&gt;&lt;!--[if !supportLists]--&gt;&lt;span style=&quot;font-family: Symbol; font-size: 10pt;&quot;&gt;·&lt;span style=&quot;font-family: &amp;quot;Times New Roman&amp;quot;; font-size: 7pt; font-stretch: normal; font-variant-east-asian: normal; font-variant-numeric: normal; line-height: normal;&quot;&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;
&lt;/span&gt;&lt;/span&gt;&lt;!--[endif]--&gt;&lt;span style=&quot;font-family: Arial, sans-serif; font-size: 10pt;&quot;&gt;P=dW/dq *&amp;nbsp; dq/dt&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class=&quot;MsoNormal&quot; style=&quot;background: white; margin-bottom: 3.0pt; margin-left: 0in; margin-right: 0in; margin-top: 0in; mso-list: l0 level1 lfo1; tab-stops: list .5in; text-indent: 0in;&quot;&gt;&lt;!--[if !supportLists]--&gt;&lt;span style=&quot;font-family: Symbol; font-size: 10pt;&quot;&gt;·&lt;span style=&quot;font-family: &amp;quot;Times New Roman&amp;quot;; font-size: 7pt; font-stretch: normal; font-variant-east-asian: normal; font-variant-numeric: normal; line-height: normal;&quot;&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;
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Instantaneous power&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;img alt=&quot;&quot; height=&quot;164&quot; 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&lt;/span&gt;&lt;/span&gt;&lt;span style=&quot;font-family: Arial, sans-serif; font-size: 10pt; text-indent: 0in;&quot;&gt;W=V.I.t&amp;nbsp;(Joule)&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;/p&gt;</content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/1420926920036933916/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2020/08/power-and-energy.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/1420926920036933916'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/1420926920036933916'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2020/08/power-and-energy.html' title='Power and Energy'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-1774445220699521058</id><published>2020-08-18T06:17:00.001-07:00</published><updated>2020-08-18T06:17:25.510-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Circuit Theory"/><title type='text'>EMF vs PD</title><content type='html'>&lt;p&gt;The work done to move a unit positive charge from infinity to some reference point is known as EMF.&lt;/p&gt;&lt;p&gt;V=dw/dq (volt)&lt;/p&gt;&lt;p&gt;&lt;b&gt;EMF:-&lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;ol style=&quot;text-align: left;&quot;&gt;&lt;li&gt;Cause&lt;/li&gt;&lt;li&gt;Source to the circuit&lt;/li&gt;&lt;li&gt;Independent to other elements in the circuit&lt;/li&gt;&lt;/ol&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Potential Difference:-&lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;ol style=&quot;text-align: left;&quot;&gt;&lt;li&gt;Effect&lt;/li&gt;&lt;li&gt;Part of the circuit&lt;/li&gt;&lt;li&gt;Dependent&lt;/li&gt;&lt;/ol&gt;</content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/1774445220699521058/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2020/08/emf-vs-pd.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/1774445220699521058'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/1774445220699521058'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2020/08/emf-vs-pd.html' title='EMF vs PD'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-1542074033844834143</id><published>2020-08-18T05:25:00.001-07:00</published><updated>2020-08-18T05:25:40.707-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Circuit Theory"/><title type='text'>Basic System of Units</title><content type='html'>&lt;p&gt;Metric System: International Systems of Unit (SI Unit) -&amp;gt; 1960&lt;/p&gt;&lt;p&gt;&lt;b&gt;Six Fundamental Units:-&lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;ol style=&quot;text-align: left;&quot;&gt;&lt;li&gt;Length (meter)&lt;/li&gt;&lt;li&gt;Mass (kilogram)&lt;/li&gt;&lt;li&gt;Time (second)&lt;/li&gt;&lt;li&gt;Electric Current (Ampere)&lt;/li&gt;&lt;li&gt;Temperature (Kelvin)&lt;/li&gt;&lt;li&gt;Luminous Intensity (Candela)&lt;/li&gt;&lt;/ol&gt;&lt;p&gt;&lt;/p&gt;</content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/1542074033844834143/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2020/08/basic-system-of-units.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/1542074033844834143'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/1542074033844834143'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2020/08/basic-system-of-units.html' title='Basic System of Units'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-8321050512533384865</id><published>2020-08-18T05:18:00.000-07:00</published><updated>2020-08-18T05:18:17.349-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Circuit Theory"/><title type='text'>Circuit Theory (Introduction)</title><content type='html'>&lt;p&gt;Electromagnetic theory is applicable for all frequency ranges whereas network (aka circuit) theory is applicable for up to a frequency of 1MHz&lt;/p&gt;&lt;p&gt;&lt;b&gt;Circuit:-&lt;/b&gt; Interconnection of electrical elements.&lt;/p&gt;&lt;p&gt;&lt;b&gt;Analysis:-&lt;/b&gt; For a given circuit, provided with a given input (excitation), the analysis part deals with finding the output (or response) of the circuit e.g. output I or V or Power.&lt;/p&gt;&lt;p&gt;&lt;img alt=&quot;&quot; height=&quot;59&quot; src=&quot;data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZIAAABKCAYAAACRmNIMAAAJR0lEQVR4Ae2dscscRRjG869YW4h21trZiIWFdvkPklaDfRobTSWCVbTRNIJYCQZJHcSIoBgRGw0YNRH5xJNn4fl8b9i93bvZu3nn87dw39zuzszOPfPu85t3L9+XSxs2FEABFEABFKhQ4FJFW5qiAAqgAAqgwAaQEAQogAIogAJVCgCSKvlojAIogAIoAEiIARRAARRAgSoFAEmVfDRGARRAARQAJMQACqAACqBAlQKApEo+GqMACqAACgASYgAFUAAFUKBKAUBSJR+NUQAFUAAFAAkxgAIogAIoUKUAIKmSj8YogAIogAKAhBhAARRAARSoUgCQVMlHYxRAARRAgWqQPPXSmxteOTTIGs7EB/ExFZsfvvLEhlcODabmaMnxVUDy/NXbG15tNZBZZ900NuKD+BiLT0HkwbWneTXWQPNQswGSCwJBQNLWqLODMmt8AJIcEAUkFwQEtUaU1Si0yiEjaQ+5rPEBSADJkAlhEu1NQhDKahSAhPjY9cgEkAASQJIoGwIkOQy7NrM8Vvus8QFIAAkgASS7Fpvn58ha20MOkOQw7Kz/sIDvSBKZ+bFWk0v6zWoUogkgASTnq4riDRlJDsABEkAy/NNaQNLerJcAv1WdrPEBSADJsLZgtZnDwLIaBRkJ8VEkIVu7gASQAJJE2RAgyWHYrTKOuetmjQ9AAkgACSDZWl1O7ZC1toccIMlh2HzZPuESmER7k9BqNKtRKGyIkfYxkjU+yEhyAE7zULPxJ1ISZRVzjyd2nc9qFICkPUQyLzQACSAZAMZqE6OYW8kQI+1jJOtCA5AAEkCSKJvJahRkJO0hQkaSw6yzfj+icfFoK5GZ73r0dOxzgCSHYR97ng/tP2t8kJHkgBwgAST8QiIxMPv/vQCSHIa9Kyv58877W0+J/7r32fn/0/Lwnctb5/7+5f75uV19Lj0HSK7e3nzx5YPNwz/OZm+mQ1dzPbTLahStH239+PPjrRvw1uc/DXHy1fe/HS1mrrx1d7imr5UhfrLGx9oZSWnGmohHH19f1XSXmvO+9f559Ov5OA0OfR71c/bD3a3Pobo6tu81puoDkkYgEbgwii2PntyRibUwUw1IwIjX1ry9/dG3w/FjLT5KkHhfZRzLKd//H0AiY9UmE7ZhCiLa4ure56ZK9bOmSes6BkMc29T1fVxjmMo8DEzXrS0BCSAZzCmLUbzx7r3NjVvfDTevf7QAiQCibOSUZj11LUDiSNhsyvhYKyMxMMayD0FE21KzBST/zdfSdxfi90jKR1vOFlR6i9mDTMYvn4+mU/Yng3B9m4LbqVT9KRM51fFMIPFnNlBagETzEufcY3JZzrHre16dPcRHY44RZTTaXEd96loxw3F/Ol5uau9xnKrMGh9rgUSwiI+GIjScDQgy8b3rGELaVx9xc0ag48oC4vmY5YxlD2qrOs4eYr9jwPN4VHqcfrQVz3mca2ZNZCQjGYkB4hvWN7NvfEFBWwSA9nVcN3ZpMjpmkPjGN6y837p89vIHJzenJZ/5xdfubJ55+cZJx2bYe/7HxlnOsW9yx4jaCByGh/YVA4qlfUCidh5P7HtsTMc8ljU+Xrjy6ebr159bnC2Uhur9MSP3OZXaZMo26GjkESSqO5aRGCBu5zY2+rHrGyTq09dVGcdVvnc9jXcMFB6HyrJtzT4gGTF+mXyEhG9kG4sMIRqEbuBoLPG9b+7sIMm24hRA3vvk/ub3x2cn/xMp5Xx7DmNZzrFuXEHCdXb10SNIssbHzVefXMUQx4w8GusaIIkZiPoWKGz2Y9evAUkce3wvgBhm8Xjte0BSQEBGUIJEx7TtAolMRO1UtzQZHQMkg4SzP67f/OYcIK7c06MtzbVeBolKH3MJSDyz+5dlfKz1aEtGPrVK9ypfBhzf23ydXXhffRkQPqa+S5DEenovcLi+SkCyR3y0MAnf0C5L4z8EJLGPCBVfA5DsERRF1RYxUj6W8jy6jPOtY9qWZiRjkCljJvY3Vt/jOFWZJSMpQmP4jepovoe+9/cQY4+OBIAIGY0hruoPBUnMSHSNNUBy6OevbUdGMpJBLAGJgklm4hs57nvF6QxGJqFNMHH9sWv4XIsyq1FItxYgsXnHOdO8aN40r3MgUd0SRmpj2MR48bXUt+de513X5x1PrnPKMmt8rJWRyEhl5NqiqRowERyCSsw4hkah3Vh2oTba3I/h431fxyATWLQ5ixnLhOI4/b7s18ddxj59bI0SkBwIEpmETMZbaTjxnOrKRGIdw0XtI5BOaQ7xWlmNQvq0AIm18fy6tLkvAYn6EBy8KQ7cb5x/nRckpkCiNjGeWgAla3ysCRIZqiBQbjZ3G67N2vW87/M2fZ13luFHWwaKzvmLdrczyHRO49DLICnHZgC5rUuPZeq8+o59ul1tCUgO+PMYuqmjKdgcei6zGoUCvyVIep7TNceeNT7WBkmtoU61N0imzvd+HJAAkmGVnNUoAEmOPyaZNT4ASY6/AQZIAAkgOSAG1lzt99AXIKkzbDISLQmntwvxm+093MjHHmNWo1DoaWzH/vz0vzvzyRofvWQkvT+6mhs/GQmrUTISYmAW1ICkLiOZM+LezwMSTASQEAOA5BqgqIEZIMFEAAkxAEgAydbvz+wLFUCCiQASYgCQABJAwhelu78oXaJP1mfgfNleP7dL5n+uTtb40Ep439Uz9dd/jEdGwmqUjIQYICMhI6kCMiDBRAAJMQBIAAkgmUvLOT//eCTrowsebc3P3SniO2t88Ghr/cdUhzz6IyNhNUpGQgyQkZCRkJGcYkV20a+RdcVJRkJGohiY2shIyEiG2JCBXXST7uHzAZIchp01VrLGByABJIAk0SOVrEahIGGx0R5yWeMDkACSc5AoSHm112CYkIQ/iI32sZEZJIIJr/Ya1FhH9V//rbk4bVEABVAABfpXAJD0P4d8AhRAARRoqgAgaSo/F0cBFECB/hUAJP3PIZ8ABVAABZoqAEiays/FUQAFUKB/BQBJ/3PIJ0ABFECBpgoAkqbyc3EUQAEU6F8BQNL/HPIJUAAFUKCpAoCkqfxcHAVQAAX6VwCQ9D+HfAIUQAEUaKoAIGkqPxdHARRAgf4VACT9zyGfAAVQAAWaKgBImsrPxVEABVCgfwUASf9zyCdAARRAgaYKAJKm8nNxFEABFOhfgX8BuCtEcKfRnkwAAAAASUVORK5CYII=&quot; width=&quot;322&quot; /&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Synthesis:-&lt;/b&gt; Designing the circuit provided both input and output is known.&lt;/p&gt;&lt;p&gt;&lt;img alt=&quot;&quot; height=&quot;53&quot; src=&quot;data:image/png;base64,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&quot; width=&quot;314&quot; /&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Difference between network and circuit?&lt;/b&gt;&lt;/p&gt;&lt;p&gt;Network: May have (or) may not have a closed path.&lt;/p&gt;&lt;p&gt;Circuit: Always have a closed path.&lt;/p&gt;</content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/8321050512533384865/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2020/08/circuit-theory-introduction.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/8321050512533384865'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/8321050512533384865'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2020/08/circuit-theory-introduction.html' title='Circuit Theory (Introduction)'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-3012807690764034228</id><published>2020-07-23T13:16:00.004-07:00</published><updated>2020-08-18T21:47:48.790-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="QnA"/><title type='text'>What is FSM and what are its types?</title><content type='html'>FSM: &lt;b&gt;Finite State Machine&lt;/b&gt;&lt;div&gt;It is a sequential circuit consisting of a combinational circuit, a storage element, and a feedback path from output to the input. Change in FSM state from one state to another is called &lt;b&gt;transition.&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;img alt=&quot;&quot; height=&quot;219&quot; src=&quot;data:image/png;base64,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&quot; width=&quot;543&quot; /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;FSM are of two types:&lt;/div&gt;&lt;div&gt;1. &lt;b&gt;Mealy Machine: &lt;/b&gt;Output is a function of the current state and the applied input.&lt;/div&gt;&lt;div&gt;2. &lt;b&gt;Moore Machine:&lt;/b&gt; Output is a function of the current state only.&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;State Diagram:&lt;/b&gt;&amp;nbsp;It describes the behavior of a finite state machine.&amp;nbsp;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/3012807690764034228/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2020/07/what-is-fsm-and-what-are-its-types.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/3012807690764034228'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/3012807690764034228'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2020/07/what-is-fsm-and-what-are-its-types.html' title='What is FSM and what are its types?'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-2597729375168514477</id><published>2020-07-23T09:10:00.001-07:00</published><updated>2020-07-23T09:10:28.126-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Learn Verilog"/><title type='text'>Verilog Module?</title><content type='html'>The basic unit of logic description which contains all the information required for modeling the hardware.&lt;div&gt;It starts with the &#39;&lt;i&gt;module&lt;/i&gt;&#39; keyword and end with the &lt;i&gt;&#39;endmodule&lt;/i&gt;&#39; keyword.&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;Syntax:&amp;nbsp;&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;i&gt;&lt;font color=&quot;#ff0000&quot;&gt;module&lt;/font&gt;&lt;/i&gt; &amp;lt;module_name&amp;gt; (port declaration);&lt;/div&gt;&lt;div&gt;----------&lt;/div&gt;&lt;div&gt;----------&lt;/div&gt;&lt;div&gt;&lt;i&gt;&lt;font color=&quot;#ff0000&quot;&gt;endmodule&lt;/font&gt;&lt;/i&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/2597729375168514477/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2020/07/verilog-module.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/2597729375168514477'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/2597729375168514477'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2020/07/verilog-module.html' title='Verilog Module?'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-2779537348224594095</id><published>2020-07-23T08:41:00.007-07:00</published><updated>2020-07-23T12:52:16.692-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Learn Verilog"/><title type='text'>Arrays, Memory and Strings in Verilog?</title><content type='html'>&lt;b&gt;Arrays:&lt;/b&gt; Collection of objects of the same data type.&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;e.g.:&lt;/div&gt;&lt;div&gt;reg [7:0] arr; ==&amp;gt; 8-bit vector (or) bus of reg data type&amp;nbsp;&lt;/div&gt;&lt;div&gt;reg arr [7:0]; ==&amp;gt; array of 8 one-bit element&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;Memory: &lt;/b&gt;A memory structure can be created using arrays.&lt;/div&gt;&lt;div&gt;-&amp;gt; Memory structure using a 2-dimensional array: &lt;b&gt;reg [0:7] memo [0:3];&lt;/b&gt;&lt;/div&gt;&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;img alt=&quot;&quot; height=&quot;126&quot; 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&quot; width=&quot;306&quot; /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;-&amp;gt; Memory structure using a multi-dimensional array:&amp;nbsp;&lt;b&gt;reg [0:7] memo [0:3] [0:3] [0:3];&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;img alt=&quot;&quot; height=&quot;178&quot; 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&quot; width=&quot;347&quot; /&gt;&lt;/div&gt;&lt;div&gt;&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;&lt;br /&gt;&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;Strings: &lt;/b&gt;Group of characters enclosed in double quotation.&lt;/div&gt;&lt;div&gt;myString = &quot;Welcome to VLSI Digest&quot;;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/2779537348224594095/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2020/07/arrays-memory-and-strings-in-verilog.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/2779537348224594095'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/2779537348224594095'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2020/07/arrays-memory-and-strings-in-verilog.html' title='Arrays, Memory and Strings in Verilog?'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-2479460382558912039</id><published>2020-07-23T08:11:00.000-07:00</published><updated>2020-07-23T08:11:20.993-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Learn Verilog"/><title type='text'>Buses in Verilog?</title><content type='html'>A&amp;nbsp; bus is a collection of bits.&amp;nbsp;&lt;div&gt;Declaration: &lt;b&gt;&amp;lt;type&amp;gt;&amp;lt;width or range&amp;gt;&amp;lt;identifier&amp;gt;&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;Bus of wire data type:-&lt;/b&gt;&lt;/div&gt;&lt;div&gt;wire [7:0] val;&lt;/div&gt;&lt;div&gt;wire signed [7:0] val;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;div&gt;&lt;b&gt;Bus of reg data type:-&lt;/b&gt;&lt;/div&gt;&lt;div&gt;reg [7:0] val;&lt;/div&gt;&lt;div&gt;reg signed [7:0] val;&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;Bit Select:-&lt;/b&gt; Any single bit within a vector (or) an array can be referenced individually.&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;wire [7:0] val_1;&lt;/div&gt;&lt;div&gt;wire [15:0] val_2;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;font color=&quot;#ff0000&quot;&gt;assign val_1[6] = val_2[12];&lt;/font&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;Part Select:-&lt;/b&gt; Any group of nets in a bus can be referenced as a part select.&lt;/div&gt;&lt;div&gt;&lt;ul style=&quot;text-align: left;&quot;&gt;&lt;li&gt;The direction of part select must match the original bus declaration.&lt;/li&gt;&lt;li&gt;The bounds of the part select must be within the original bus.&lt;/li&gt;&lt;/ul&gt;&lt;div&gt;reg [7:0] val = 8&#39;b1010&lt;b&gt;1010&lt;/b&gt;&lt;/div&gt;&lt;/div&gt;&lt;div&gt;Value of part select &lt;font color=&quot;#ff0000&quot;&gt;val[3:0]&lt;/font&gt; ==&amp;gt; has value of 10 (1010)&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/2479460382558912039/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2020/07/buses-in-verilog.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/2479460382558912039'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/2479460382558912039'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2020/07/buses-in-verilog.html' title='Buses in Verilog?'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-8784757925991065178</id><published>2020-07-22T03:38:00.008-07:00</published><updated>2020-07-22T20:21:46.981-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Learn Verilog"/><title type='text'>Reg vs Wire (Verilog)?</title><content type='html'>&lt;p class=&quot;MsoNormal&quot;&gt;&lt;font face=&quot;inherit&quot;&gt;&lt;b&gt;&lt;u&gt;Reg Data Type&lt;/u&gt;:-&lt;/b&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/font&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;&lt;/p&gt;&lt;ul style=&quot;text-align: left;&quot;&gt;&lt;li&gt;&lt;font face=&quot;inherit&quot;&gt;The most commonly used &lt;font color=&quot;#ff0000&quot;&gt;variable&lt;/font&gt; data type.&lt;/font&gt;&lt;/li&gt;&lt;li&gt;&lt;font face=&quot;inherit&quot;&gt;Can hold 0,1, X, Z values. ** Use range declaration for more bits&lt;/font&gt;&lt;/li&gt;&lt;li&gt;&lt;font face=&quot;inherit&quot;&gt;&lt;span style=&quot;mso-spacerun: yes;&quot;&gt;D&lt;/span&gt;oesn&#39;t signify
what type of value it will hold.&lt;/font&gt;&lt;/li&gt;&lt;li&gt;&lt;font face=&quot;inherit&quot;&gt;Not to be confused with a register.&lt;/font&gt;&lt;/li&gt;&lt;li&gt;&lt;font face=&quot;inherit&quot;&gt;Used to model storage elements.&lt;/font&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div&gt;&lt;font face=&quot;inherit&quot;&gt;&lt;b&gt;e.g.:&lt;/b&gt;&amp;nbsp;&lt;span style=&quot;font-size: 11pt;&quot;&gt;D-flip flop output is declared as reg and it
will hold the value until the next positive clock edge arrives.&lt;/span&gt;&lt;/font&gt;&lt;/div&gt;&lt;div&gt;&lt;span&gt;&lt;font face=&quot;inherit&quot;&gt;&lt;br /&gt;&lt;/font&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span&gt;&lt;i&gt;&lt;b&gt;&lt;font face=&quot;inherit&quot;&gt;module dff( input d_in, clk, output &lt;font color=&quot;#ff0000&quot;&gt;reg&lt;/font&gt; q_out);&lt;/font&gt;&lt;/b&gt;&lt;/i&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span&gt;&lt;i&gt;&lt;b&gt;&lt;font face=&quot;inherit&quot;&gt;&lt;font color=&quot;#ff0000&quot;&gt;always&lt;/font&gt; @ (posedge clk)&lt;/font&gt;&lt;/b&gt;&lt;/i&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span&gt;&lt;i&gt;&lt;b&gt;&lt;font face=&quot;inherit&quot;&gt;q_out = d_in;&lt;/font&gt;&lt;/b&gt;&lt;/i&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span&gt;&lt;i&gt;&lt;b&gt;&lt;font face=&quot;inherit&quot;&gt;endmodule&lt;/font&gt;&lt;/b&gt;&lt;/i&gt;&lt;/span&gt;&lt;/div&gt;&lt;font face=&quot;inherit&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/font&gt;&lt;p&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;&lt;font face=&quot;inherit&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/font&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;&lt;font face=&quot;inherit&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/font&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;&lt;font face=&quot;inherit&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/font&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;&lt;font face=&quot;inherit&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/font&gt;&lt;/p&gt;&lt;p class=&quot;MsoNormal&quot;&gt;&lt;font face=&quot;inherit&quot;&gt;&lt;b&gt;&lt;u&gt;Wire Data Type&lt;/u&gt;:-&lt;/b&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/font&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;&lt;/p&gt;&lt;ul style=&quot;text-align: left;&quot;&gt;&lt;li&gt;&lt;font face=&quot;inherit&quot;&gt;Most popular &lt;font color=&quot;#ff0000&quot;&gt;net&lt;/font&gt; data type.&lt;/font&gt;&lt;/li&gt;&lt;li&gt;&lt;font face=&quot;inherit&quot;&gt;Default data type.&lt;/font&gt;&lt;/li&gt;&lt;li&gt;&lt;font face=&quot;inherit&quot;&gt;Assigned using the &#39;&lt;i&gt;assign&#39;&lt;/i&gt; statement.&lt;/font&gt;&lt;/li&gt;&lt;li&gt;&lt;font face=&quot;inherit&quot;&gt;Continuously updated based on the driver value.&lt;/font&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div&gt;&lt;b&gt;&lt;font face=&quot;inherit&quot;&gt;e.g.:&amp;nbsp;&lt;/font&gt;&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;font face=&quot;inherit&quot;&gt;&lt;br /&gt;&lt;/font&gt;&lt;/div&gt;&lt;div&gt;&lt;i&gt;&lt;b&gt;&lt;font face=&quot;inherit&quot;&gt;module mux2x1( input a, b, sell, output &lt;font color=&quot;#ff0000&quot;&gt;wire&lt;/font&gt; y);&lt;/font&gt;&lt;/b&gt;&lt;/i&gt;&lt;/div&gt;&lt;div&gt;&lt;i&gt;&lt;b&gt;&lt;font face=&quot;inherit&quot;&gt;&lt;font color=&quot;#ff0000&quot;&gt;assign&lt;/font&gt; y = (a &amp;amp; sel) | (b &amp;amp; ~sel);&lt;/font&gt;&lt;/b&gt;&lt;/i&gt;&lt;/div&gt;&lt;div&gt;&lt;i&gt;&lt;b&gt;&lt;font face=&quot;inherit&quot;&gt;endmodule&lt;/font&gt;&lt;/b&gt;&lt;/i&gt;&lt;/div&gt;&lt;b&gt;&lt;font face=&quot;inherit&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/font&gt;&lt;/b&gt;&lt;p&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;&lt;b&gt;&lt;font face=&quot;inherit&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/font&gt;&lt;/b&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;&lt;b&gt;&lt;font face=&quot;inherit&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/font&gt;&lt;/b&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;&lt;b&gt;&lt;font face=&quot;inherit&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/font&gt;&lt;/b&gt;&lt;/p&gt;&lt;p class=&quot;MsoNormal&quot;&gt;&lt;b&gt;&lt;font face=&quot;inherit&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;/font&gt;&lt;/b&gt;&lt;/p&gt;&lt;b&gt;&lt;font face=&quot;inherit&quot;&gt;Reg data type is used whenever a data object is assigned
within a Verilog procedural block (like always and initial).&lt;/font&gt;&lt;/b&gt;&lt;br /&gt;</content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/8784757925991065178/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2020/07/reg-vs-wire-verilog.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/8784757925991065178'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/8784757925991065178'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2020/07/reg-vs-wire-verilog.html' title='Reg vs Wire (Verilog)?'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-236069809466852652</id><published>2020-07-22T03:24:00.006-07:00</published><updated>2020-07-22T20:22:03.169-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Learn Verilog"/><title type='text'>What are Data Objects (Verilog)?</title><content type='html'>&lt;p class=&quot;MsoNormal&quot;&gt;&lt;b&gt;Data Objects:-&amp;nbsp;&lt;/b&gt;These enable the change in state and
passing of data from one point to another in logic design.&lt;/p&gt;&lt;p class=&quot;MsoNormal&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;Two main types of data objects are:&lt;o:p&gt;&lt;/o:p&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;&lt;b&gt;1. Variables&lt;/b&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;&lt;/p&gt;&lt;ul style=&quot;text-align: left;&quot;&gt;&lt;li&gt;Evaluates when a procedural block executes (always or initial)&lt;/li&gt;&lt;li&gt;It is procedural – stores and holds the value until its next
assignment.&lt;/li&gt;&lt;/ul&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;p&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;&lt;b&gt;e.g.:&lt;/b&gt; reg, integer, real, time, realtime&lt;/p&gt;&lt;p class=&quot;MsoNormal&quot;&gt;&lt;/p&gt;&lt;p class=&quot;MsoNormal&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;ul style=&quot;-webkit-text-stroke-width: 0px; color: black; font-family: &amp;quot;times new roman&amp;quot;; font-size: medium; font-variant-caps: normal; font-variant-ligatures: normal; letter-spacing: normal; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;&quot;&gt;&lt;li style=&quot;font-style: normal;&quot;&gt;Integer: Represent integer value (e.g. &lt;b&gt;i&lt;/b&gt;&lt;b&gt;nteger a = 7;&lt;/b&gt;)&lt;/li&gt;&lt;li style=&quot;font-style: normal; font-weight: 400;&quot;&gt;Real: Used to model floating-point values (not synthesizable) (e.g.&lt;span&gt;&amp;nbsp;&lt;/span&gt;&lt;b&gt;real val_1 = 3.65;&lt;/b&gt;)&lt;/li&gt;&lt;li style=&quot;font-style: normal; font-weight: 400;&quot;&gt;Time: Used to represent delay and sequencing (not synthesizable) (e.g.&lt;span&gt;&amp;nbsp;&lt;/span&gt;&lt;b&gt;time delay_1 = 2ns;&lt;/b&gt;)&lt;/li&gt;&lt;li style=&quot;font-weight: 400;&quot;&gt;Realtime: Store &lt;i&gt;real&lt;/i&gt; value of simulation time.&lt;/li&gt;&lt;/ul&gt;&lt;span&gt;&lt;/span&gt;&lt;div&gt;&lt;b&gt;2. Nets&lt;/b&gt;&lt;/div&gt;&lt;p class=&quot;MsoNormal&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;&lt;/p&gt;&lt;ul style=&quot;text-align: left;&quot;&gt;&lt;li&gt;Evaluates when the input changes.&lt;/li&gt;&lt;li&gt;It is structural – i.e. it connects a driver (or multiple drivers) to the receiver.&lt;/li&gt;&lt;li&gt;There are eight data types of nets used for hardware
modeling.&lt;/li&gt;&lt;/ul&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;p&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;&lt;b&gt;e.g.:&lt;/b&gt; wire, tri, wand, triand, wor, trior, tri0, tri1,
trireg, supply0, supply1&lt;o:p&gt;&lt;/o:p&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;&lt;o:p&gt;&amp;nbsp;&lt;/o:p&gt;&lt;b&gt;&lt;font color=&quot;#ff0000&quot;&gt;**&lt;/font&gt; In general, only wire (i.e. point-to-point connections)
is used for FPGA-based synthesis enabling source-code portability.&lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;b&gt;&lt;/b&gt;&lt;p&gt;&lt;/p&gt;</content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/236069809466852652/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2020/07/what-are-data-objects-verilog.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/236069809466852652'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/236069809466852652'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2020/07/what-are-data-objects-verilog.html' title='What are Data Objects (Verilog)?'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-1080078464646552097</id><published>2020-07-21T12:52:00.001-07:00</published><updated>2020-07-21T12:52:21.621-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Learn Verilog"/><title type='text'>Inference vs Instantiation (Verilog)?</title><content type='html'>&lt;img alt=&quot;&quot; height=&quot;194&quot; 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&quot; width=&quot;531&quot; /&gt;</content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/1080078464646552097/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2020/07/inference-vs-instantiation-verilog.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/1080078464646552097'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/1080078464646552097'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2020/07/inference-vs-instantiation-verilog.html' title='Inference vs Instantiation (Verilog)?'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-2037060431534776901</id><published>2020-07-21T12:29:00.003-07:00</published><updated>2020-07-21T12:31:05.899-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Learn Verilog"/><title type='text'>Verilog data representation?</title><content type='html'>&lt;p class=&quot;MsoNormal&quot;&gt;Each bit is treated as data in the Verilog language. Each bit can
support any of the following 4 logic values which are: &lt;b&gt;0, 1, ‘X’ &lt;/b&gt;(unknown or
uninitialized)&lt;b&gt;, ‘Z’ &lt;/b&gt;(high impedance).&lt;o:p&gt;&lt;/o:p&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;Syntax for declaring a number: &lt;b&gt;&amp;lt;size&amp;gt;&amp;lt;base
format&amp;gt;&amp;lt;number&amp;gt;&lt;/b&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;&lt;b&gt;Explicitly-Sized Numbers: &lt;/b&gt;Here we have explicitly specified the size for the number;&lt;o:p&gt;&lt;/o:p&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;6’&lt;b&gt;b&lt;/b&gt;101101 -&amp;gt; 6-bit binary value&lt;o:p&gt;&lt;/o:p&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;8’&lt;b&gt;sh&lt;/b&gt;4a -&amp;gt; 8-bit signed hex value&lt;o:p&gt;&lt;/o:p&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;16’&lt;b&gt;H&lt;/b&gt;fa2z -&amp;gt; 16-bit hex value&lt;o:p&gt;&lt;/o:p&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;** 8’b1010 -&amp;gt; &lt;b&gt;0000&lt;/b&gt;_1010 (automatically zero-extended)&lt;o:p&gt;&lt;/o:p&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;** 4’b1011&lt;b&gt;0111&lt;/b&gt; -&amp;gt; 0111 (automatically extra bit&#39;s truncated)&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;&lt;b&gt;Implicitly-Sized Numbers:&lt;/b&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/p&gt;&lt;p class=&quot;MsoNormal&quot;&gt;&lt;o:p&gt;&amp;nbsp;**&amp;nbsp;&lt;/o:p&gt;&lt;u&gt;When size parameter is not specified, default value of 32-bit is considered for internal compiler.&lt;/u&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;‘o12 -&amp;gt; 32-bit octal value&lt;o:p&gt;&lt;/o:p&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;‘&lt;b&gt;sh&lt;/b&gt;ab11 -&amp;gt; 32-bit signed hex value&lt;o:p&gt;&lt;/o:p&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;3674 -&amp;gt; 32-bit signed decimal&lt;/p&gt;</content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/2037060431534776901/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2020/07/verilog-data-representation.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/2037060431534776901'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/2037060431534776901'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2020/07/verilog-data-representation.html' title='Verilog data representation?'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-2287548964410729867</id><published>2020-07-21T12:20:00.001-07:00</published><updated>2020-07-21T12:20:21.799-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Learn Verilog"/><title type='text'>Comments (Verilog)?</title><content type='html'>&lt;p class=&quot;MsoNormal&quot;&gt;&lt;b style=&quot;mso-bidi-font-weight: normal;&quot;&gt;Single-line comment: &lt;o:p&gt;&lt;/o:p&gt;&lt;/b&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;//This is a single line comment&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;&lt;b style=&quot;mso-bidi-font-weight: normal;&quot;&gt;Multi-line comment:&lt;o:p&gt;&lt;/o:p&gt;&lt;/b&gt;&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;/*This is a&amp;nbsp;&lt;/p&gt;&lt;p class=&quot;MsoNormal&quot;&gt;multi-line comment*/&lt;/p&gt;</content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/2287548964410729867/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2020/07/comments-verilog.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/2287548964410729867'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/2287548964410729867'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2020/07/comments-verilog.html' title='Comments (Verilog)?'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-1508001519002514304</id><published>2020-07-21T12:19:00.001-07:00</published><updated>2020-07-21T12:19:16.282-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Learn Verilog"/><title type='text'>Keywords vs Identifier (Verilog)?</title><content type='html'>&lt;p class=&quot;MsoNormal&quot;&gt;&lt;b&gt;Keywords:&lt;/b&gt;&amp;nbsp;Reserved identifiers for the Verilog language constructs.
Always in lower-case.&lt;/p&gt;&lt;p class=&quot;MsoNormal&quot;&gt;&lt;b&gt;e.g.:&lt;/b&gt; module, endmodule, input, output, etc.&lt;/p&gt;

&lt;p class=&quot;MsoNormal&quot;&gt;&lt;b&gt;Identifiers: &lt;/b&gt;Name given to an object so that they can be
referenced in the design description.&lt;/p&gt;&lt;p class=&quot;MsoNormal&quot;&gt;&lt;b&gt;e.g.:&lt;/b&gt;&amp;nbsp;a, b, _test, etc.&lt;/p&gt;</content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/1508001519002514304/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2020/07/keywords-vs-identifier-verilog.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/1508001519002514304'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/1508001519002514304'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2020/07/keywords-vs-identifier-verilog.html' title='Keywords vs Identifier (Verilog)?'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2364129845583749915.post-6206174996825535359</id><published>2020-07-19T21:31:00.001-07:00</published><updated>2020-07-19T21:31:27.646-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Learn Verilog"/><title type='text'>Levels of Abstraction in Verilog?</title><content type='html'>&lt;p class=&quot;MsoNormal&quot;&gt;Hardware can be modeled at different levels of abstraction
using Verilog.&lt;/p&gt;&lt;p class=&quot;MsoNormal&quot;&gt;i.e. Behavioral, RTL (Register-Transfer level), Gate level, Placed cells and route, Switch/Mask&lt;/p&gt;&lt;p class=&quot;MsoNormal&quot;&gt;&lt;img alt=&quot;&quot; height=&quot;42&quot; src=&quot;data:image/png;base64,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&quot; width=&quot;472&quot; /&gt;&lt;/p&gt;</content><link rel='replies' type='application/atom+xml' href='https://vlsidigest.blogspot.com/feeds/6206174996825535359/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://vlsidigest.blogspot.com/2020/07/levels-of-abstraction-in-verilog.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/6206174996825535359'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/2364129845583749915/posts/default/6206174996825535359'/><link rel='alternate' type='text/html' href='https://vlsidigest.blogspot.com/2020/07/levels-of-abstraction-in-verilog.html' title='Levels of Abstraction in Verilog?'/><author><name>VLSI Digest</name><uri>http://www.blogger.com/profile/11113035730182291508</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='29' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvSd1HGPEde6NhSyRgnMkIYDZTqD-zNYmtWs6OBruKBThZl9tmaDuhB70jVGrl4lx0a02H5dEVox17siwUQKc3X0WouNPHTfYyjUhVnDDg1yvrwokqAVLSAshza6-l4w/s113/vlsidigest.png'/></author><thr:total>0</thr:total></entry></feed>