Happy New Year! Have you tried the new Transmission Line Library (rfTlineLib) yet? In case you missed it, rfTlineLib was introduced in IC 6.1.6 ISR1 plus MMSIM 12.1.1 -or- MMSIM13.1. You may wonder....Why should I use the new rfTlineLib ? Well...(read more)

Hi Folks, Check out this great new video on YouTube: CDNLive SV 2014: PMC Improves Visibility and Performance with Spectre APS In this video from CDNLive Silicon Valley 2014, Jurgen Hissen, principal engineer, MSCAD, at PMC, discusses an aggressive...(read more)

I can get the bound stdcells using bndGetBoundObjects, but not get what each individual stdcell corresponds in layout.

Is there a way to get the layout bound stdcells of an array schematic symbol if the layout stdcell name do or do not match the symbol naming?

Once the schematic array stdcells are bound to the layout stdcells, how to get the correct terminal term~>name and net~>name?

Example of a schematic symbol and layout stdcell:

Schematic

INV<0:2>    instTerms~>terms~>name = ("vss" "vdd" "A" "Y")

                   instTerms~>net~>name = ("<*3>vss" "<*3>vdd" "in<0:2>" "nand2A,nand3B,nor2B")

Layout ( I know it is bad practice, but it happens )

stdcell1 instTerms~>terms~>name = ("vss" "vdd" "A" "Y")

             instTerms~>net~>name = ("vss" "vdd" "in<0>" "nand2A")

I23        instTerms~>terms~>name = ("vss" "vdd" "A" "Y")

             instTerms~>net~>name = ("vss" "vdd" "in<1>" "nand3B")

INV(2) instTerms~>terms~>name = ("vss" "vdd" "A" "Y")

             instTerms~>net~>name = ("vss" "vdd" "in<2>" "nor2B")

Paul

Hi Team,

Problem Statement:In hierarchical layout, I want to get BBOX of particular layer without actually flattening the layout.

Description:The layer can be at any hierarchical depth i.e both from PCELL or shapes but at top level if they are overlapping then I want the merged BBOX.

Now, I am able to get BBOX of all the shapes present at different hierarchy.But i finding issue in merging BBOX.

Please can help me on the same issue as I require efficient way to merge the BBOX because list containing the BBOX is huge.

Thanks in advance.

Regrads,

Prasanna

HI All,

I am new to skill. My requirement is

open layout 

get m0 layer cordinates in a layout

dump info into a text file

For example 2 input Nand, A,B output , vcc , vssx and internal net (n2) will be the m0 layers. I need info like in a text file.

n2 co ordinate

vssx (co ordinate)

a (co ordinate)

b (co ordinate ) .

I found similar code in cadence form . Can you help me on this

 procedure(printPts()
let(    (type
    (cnt 0)
    (objList geGetSelSet()))

foreach(obj objList
    ++cnt
    type = obj~>objType
    case(type
        ("inst"
            printf("%s %L at %L " type obj~>xy))
        ("rect"
            printf("%s on layer %L at %L " type obj~>lpp obj~>bBox))
        ("polygon"
            printf("%s on layer %L at %L " type obj~>lpp obj~>points))
        ("path"
            printf("%s on layer %L at %L " type obj~>lpp obj~>points))
        ("pathSeg"
            printf("%s on layer %L at %L " type obj~>lpp list(obj~>beginPt obj~>endPt)))
        ("label"
            printf("%s on layer %L at %L " type obj~>lpp obj~>xy))
        (t    printf("%s not defined " type))
    )
)
printf("%n objects selected " cnt)
); end of let
); end of printPts

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Complexity is driving the urgency for advanced artificial intelligence systems more than ever—and that means someone has to supply the tools to create those systems. Cadence is up to the task: we’ve been expanding our AI offerings. If you haven’t already seen what Cadence can do for your AI needs, or if you’re not quite up-to-date on this whole AI boom, let this presentation given by K.T. Moore at the Cadence Theater at DAC bring you up to speed.

The technology behind AI isn’t as new as you’d think—the principles that govern how AI learns have been in development since 1959, when Arthur Samuel defined the concept of “machine learning.” At the time, there was nothing even resembling the necessary compute power to put Samuel’s concepts into practice—but now we can. AI designs are huge, and they’re massively parallel—simulating them on older computers and simulators would have taken ages; never mind how long it would take to do some by-hand measure like they had to do in the '60s.

But with advancements in server technology and the parallelization technology in products like Xcelium Parallel Logic Simulator and JasperGold smart technology, plus hardware-based engines like the Palladium and Protium platforms, verifying AI designs is not only possible—it’s easy.  But, read on, its not just about simulation technology.

AI tech is flooding the industry. It’s applicable to almost every vertical—cloud computing can use AI to intelligently manage a user’s required resources, consumer electronics are using it to tailor a user experience based on a whole host of collected data, automotive companies want to use AI to drive cars, healthcare to assist in diagnoses given a set of symptoms and a database of other, similar patients—and that’s saying nothing of the multitude of industrial applications. AI is also useful in the creation of developers’ tools themselves. Part of what’s causing the semiconductor industry boom is just this—an exploding interest in AI chips. And with 5G technology imminent, and with the looming billion-gate plus sizes of the SoCs that implement 5G, AI-assisted developers' tools might need to become the norm, not an outlier.

So: in all of this, where is Cadence?

Cadence is focusing its efforts on two areas, dubbed “machine learning inside” and “machine learning outside.” ML inside in the digital design flow refers to improving PPA, faster engines, and better testing and diagnostics. None of this physically affects how you use a tool, but it makes using that tool a much better experience. ML outside talks about the design flow in general, working toward an automated design flow, as well as productivity improvements across the flow. These things do change how you use a tool, but don’t worry, it’s all for the better.

Additionally, Cadence is working to improve design enablement; that is, hardware and software co-design. Smart Genus and Innovus solutions make designing your SoC easier than ever—using the full flow can result in up to a 21% PPA gain.

If you’re looking specifically for IP to enable AI on your SoC, the Tensilica DNA 100 processor has you covered, too. It’s great for companies designing edge or AI chips, offers great compression rates and efficient power usage, and has 4.7X the performance of other AI SoC IP on similar array sizes.

Cadence has you covered no matter where you’re going in this new world of AI systems—with our AI-enabled tools, IP,  and our strong partner ecosystem, you can be at ease knowing you’ll be supported no matter how complex your needs are.

Everyone keeps talking about “the cloud” this and “the cloud” that these days—but you’re a semiconductor designer. Everyone keeps saying “the cloud” is revolutionizing all aspects of electronics design—but what does it mean for you? Cadence's own Tom Hackett discussed this in a presentation at the Cadence Theater during DAC 2019.

What people refer to as “the cloud” is commonly divided into three categories: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and software as a Service (SaaS). With IaaS, you bring your own software—i.e. loading your owned or appropriately licensed tools onto cloud hardware that you rent by the minute. This service is available from providers like Google Cloud Platform, Amazon Web Service, and Microsoft Azure. In PaaS (also available from the major cloud providers), you create your own offering using capabilities and a software design environment provided by the cloud vendor that makes subsequent scaling and distribution really easy because the service was “born in the cloud”.  Lastly, there’s SaaS, where the cloud is used to access and manage functionality and data without requiring users to set up or manage any of the underlying infrastructure used to provide it.  SaaS companies like Workday and Salesforce deliver their value in this manner.  The Cadence Cloud portfolio makes use of both IaaS and SaaS, depending on the customers’ interest.  Cadence doesn’t have PaaS offerings because our customers don’t create their own EDA software from building blocks that Cadence provides.

All of these designations are great, but you’re a semiconductor designer. Presumably you use Workday or some similar software, or have in the past when you were an intern, but what about all of your tools? Those aren’t on the cloud.

Wait—actually, they are.

Using EDA tools in the cloud allows you to address complexity and data explosion issues you would have to simply struggle through before. Since you don’t have to worry about having the compute-power on-site, you can use way more power than you could before. You may be wary about this new generation of cloud-based tools, but don’t worry: the old rules of cloud computing no longer apply. Cloud capacity is far larger than it used to be, and it’s more secure. Updates to scheduling software means that resource competition isn’t as big of a deal anymore. Clouds today have nearly unlimited capacity—they’re so large that you don’t ever need to worry about running out of space.

The vast increase in raw compute available to designers through the cloud makes something like automotive functional safety verification, previously an extremely long verification task, doable in a reasonable time frame. With the cloud, it’s easy to scale the amount of compute you’re using to fit your task—whether it’s an automotive functional safety-related design or a small one.

Nowadays, the Cadence Cloud Portfolio brings you the best and brightest in cloud technology. No matter what your use case is, the Cadence Cloud Portfolio has a solution that works for you. You can even access the Palladium Cloud, allowing you to try out the benefits of an accelerator without having to buy one.

Cloud computing is the future of EDA. See the future here.

Emulators are great. They vastly speed up verification to the point where it’s hard to imagine life without them; as designs grow in complexity, simple simulation can’t keep up for the biggest designs. The extra oomph from emulation is almost a necessity for the top percentages of design sizes. However, many users of Palladium aren’t efficiently using their unit’s processing power, and as a result they’re missing out on the full speed-up potential that Palladium can provide.

Altair’s HERO is here for you. With its help, your Palladium unit can be even more amazing for your productivity than before.

HERO (that’s Hardware Emulator Resource Optimizer) adds emulator support to Altair’s Accelerator. You already know and love Altair’s scheduling tools; so why not make them do more for you, so you can be one of those people who are making the most out of their Palladium system?

Emulators are kind of like big computers, but it’s a lot harder to manage leftover resources on an emulator than it is on, say, a CPU. A scheduler like HERO neatly sidesteps this problem by more intelligently using the resources available to ensure that there’s a minimal patchwork of leftover resources to begin with.

HERO supports past generations of Palladium as well, so if you’re still using an older version, you can still take advantage of the upgrades HERO provides. There’s a wide variety of features HERO has that make your emulator easier to use. HERO separates a job into a “select” section and a “run” section: the “select” part makes a last-minute decision on which domains or boards to use, while the “run” part is the actual job. This makes it easier to ensure that your Palladium emulator is being used as efficiently as possible. Jobs are placed using “shapes”, which are a set of job types; these can be selected from a list of pre-defined ones by the user. Shapes can have special constraints if those are needed.

A new reservation system also helps HERO organize Palladium’s processing power better. HERO offers both “hard” reservations and “soft” reservations. A hard reservation locks other users out of reserving any part of the emulator at all, while a soft reservation allows a user to reserve a part of the emulator for a later use. Think of it like this: a soft reservation is like grabbing a ticket from the deli counter, while a hard reservation stops you from ever entering the market.

When using HERO, you can manage your entire verification workload. You’ll find that your utilization of your emulator vastly increases—it’s been reported that some users using only 30% of the capabilities of their Palladium unit(s) saw a massive increase to over 90% once they made the switch to HERO.

If you’re ready to take your Palladium productivity to the next level, Altair has a HERO for you.

To see the full presentation given by Andrea Casotto in the Cadence Theater at DAC 2019, check here.

In the former blog about Python and Specman: Specman: Python Is here!, we described the technical information around Specman-Python integration. Since Python provides so many easy to use existing libraries in various fields, it is very tempting to leverage these cool Python apps.

Coverage has always been the center of the verification methodology, however in the last few years it gets even more focus as people develop advanced utilities, usually using Machine Learning aids. Anyhow, any attempt to leverage your coverage usually starts with some analysis of the behavior and trends of some typical tests. Visualizing the data makes it easier to understand, analyze, and communicate. Fortunately, Python has many Visualization libraries.

In this blog, we show an example of how you can use the plotting Python library (matplotlib) to easily display coverage information during a run. In this blog, we use the Specman Coverage API to extract coverage data, and a Python module to display coverage grades interactively during a single run and the way to connect both.

Before we look at the example, if you have read the former blog about Specman and Python and were concerned about the fact that python3 is not supported, we are glad to update that in Specman 19.09, Python3 is now supported (in addition to Python2).

The Testcase
Let’s say I have a stable verification environment and I want to make it more efficient. For example: I want to check whether I can make the tests shorter while hardly harming the coverage. I am not sure exactly how to attack this task, so a good place to start is to visually analyze the behavior of the coverage on some typical test I chose. The first thing we need to do is to extract the coverage information of the interesting entities. This can be done using the old Coverage API. 

Coverage API
Coverage API is a simple interface to extract coverage information at a certain point. It is implemented through a predefined struct type named user_cover_struct. To use it, you need to do the following:

1. Define a child of user_cover_structusing like inheritance (my_cover_struct below).
2. Extend its relevant methods (in our example we extend only the end_group() method) and access the relevant members (you can read about the other available methods and members in cdnshelp).
3. Create an instance of the user_cover_structchild and call the predefined scan_cover() method whenever you want to query the data (even in every cycle). Calling this method will result in calling the methods you extended in step 2.  

 The code example below demonstrates these three steps. We chose to extend the end_group() method and we keep the group grade in some local variable. Note that we divide it by 100,000,000 to get a number between 0 to 1 since the grade in this API is an integer from 0 to 100,000,000. 

Pass the Data to a Python Module
After we have extracted the group grade, we need to pass the grade along with the cycle and the coverage group name (assuming there are a few) to a Python module. We will take a look at the Python module itself later. For now, we will first take a look at how to pass the information from the e code to Python. Note that in addition to passing the grade at certain points (addVal method), we need an initialization method (init_plot) with the number of cycles, so that the X axis can be drawn at the beginning, and end_plot() to mark interesting points on the plot at the end. But to begin with, let’s have empty methods on the Python side and make sure we can just call them from the e code.

 # plot_i.py
def init_plot(numCycles):
    print (numCycles)
def addVal(groupName,cycle,grade):
    print (groupName,cycle,grade)
def end_plot():
    print ("end_plot") 

And add the calls from e code:

 Before running this, note that you need to ensure that Specman finds the Python include and lib directories, and Python finds our Python module. To do this, you need to define a few environment variables: SPECMAN_PYTHON_INCLUDE_DIR, SPECMAN_PYTHON_LIB_DIR, and PYTHONPATH. 

 The Python Module to Draw the Plot
After we extracted the coverage information and ensured that we can pass it to a Python module, we need to display this data in the Python module. There are many code examples out there for drawing a graph with Python, especially with matplotlib. You can either accumulate the data and draw a graph at the end of the run or draw a graph interactively during the run itself- which is very useful especially for long runs.

Below is a code that draws the coverage grade of multiple groups interactively during the run and at the end of the run it prints circles around the maximum point and adds some text to it. I am new to Python so there might be better or simpler ways to do so, but it does the work. The cool thing is that there are so many examples to rely on that you can produce this kind of code very fast.

 In the example we used, we had two interesting entities: packet and state_machine, thus we had two equivalent coverage groups. When running our example connecting to the Python module, we get the following graph which is displayed interactively during the run.

When analyzing this specific example, we can see two things. First, packet gets to a high coverage quite fast and significant part of the run does not contribute to its coverage. On the other hand, something interesting happens relating to state_machine around cycle 700 which suddenly boosts its coverage. The next step would be to try to dump graphic information relating to other entities and see if something noticeable happens around cycle 700.

To run a complete example, you can download the files from: https://github.com/okirsh/Specman-Python/

Do you feel like analyzing the coverage behavior in your environment? We will be happy to hear about your outcomes and other usages of the Python interface.

Orit Kirshenberg
Specman team

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Hi, I am in the middle of a design and had no problem going back and forth between schematics and layout. Now I am getting the error message below. I am using Cadence 17.2.

ERROR: Layout database has probably been reverted to an earlier version than that, which was used in the latest flow or the schematic database was synchronized with another board.

The basecopy file generated by the last back-to-front flow not found.

ERROR: Layout database has probably been reverted to an earlier version than that, which was used in the latest flow or the schematic database was synchronized with another board.

The basecopy file generated by the last back-to-front flow not found.

Error: CMFBC-1: The schematic and the layout constraints were not synchronized as the changes done since the last sync up could not be reconciled. Syncing the current version of the schematic or layout databases with a previous version would result in this issue. The  constraint difference report is displayed.

Continuing with "changes-only" processing may result in incorrect constraint updates.

Thanks for your input

Claudia

Please include a brief summary of how to use it.

Hi, 

I want my layout verified by Quantus QRC. But, I can't find the tool bar on the option list ( as show in the picture)

I have tried to install EXT182 and configured it with iscape already, and also make some path settings on .bashrc, .cshrc. But, when I re-source .cshrc and run virtuoso again, I just can't find the toolbar. 

If you have some methods, please let me know.

Thanks a lot!

Appreciated

My virtuoso version is: ICADV12.3

Hi,

I tried to open my layout by Library Manager, but the Virtuoso CIW window sometimes pops up the follow WARNING messages( as picture depicts). Thus, layout can't open.

Sometimes, I try to reconfigure ICADV12.3 by the iscape and restart my VM and then it incredibly works! But, often not!

So, If anyone knows what it is going on. Please let me know! Thanks!

Appreciated so much   

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