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Short films and web series are ruling new age digital entertainment scene

The Ministry of Home Affairs (MHA) released a set of revised guidelines this week which included full fledged operation of the ecommerce companies from April 20. However the Centre has left it to the state governments to decide in which areas and to ensure compliance with rules of social distancing and sanitisation. Flipkart, Snapdeal and […]

The post These 4 States Allow Online Sales Of All Goods After April 20th; But There Are Exceptions first appeared on Trak.in . Trak.in Mobile Apps: Android | iOS.

Wind River, an IoT and industrial operating system owned by Intel will be acquired by TPG, global alternative asset firm. Terms of the deal were not disclosed. Intel had bought Wind River Systems for $884 million in 2009

Wind River operates in several markets, including aerospace and defense, automotive, industrial, medical and networking technologies. Its core products in these markets are operating systems, software infrastructure platforms, device management, and simulation software. The IoT practice of Wind River provides consulting services for customers building IoT applications.

In a statement for Wind River, Nehal Raj, Partner and Head of Technology investing at TPG said “We see a tremendous market opportunity in industrial software driven by the convergence of the Internet of Things (IoT), intelligent devices and edge computing. As a market leader with a strong product portfolio, Wind River is well positioned to benefit from these trends. We are excited about the prospects for Wind River as an independent company, and plan to build on its strong foundation with investments in both organic and inorganic growth.”

Wind River’s main IoT product is Helix Device Cloud, a cloud-offering capable of managing deployed IoT devices and industrial equipment across a machine’s lifecycle. Helix can connect and manage devices remotely.

Helix platform’s key uses cases are gateway management, proactive maintenance, security updates, and device provisioning.

[News24Wire] The South African National Editors' Forum (Sanef) on Friday said it was perturbed about developments at eNCA, where news anchors Xoli Mngambi and Jane Dutton were taken off air after apologising for raising their views about the government's cigarette ban.

[News24Wire] Minister of Police Bheki Cele has revealed that a police officer accused of making blasphemous comments while arresting a group of Muslim men at a mosque last month, has been cleared of wrongdoing.

[News24Wire] While at least 19 000 inmates inside South Africa's prisons will be eligible for special parole to curb the spread of Covid-19, those sentenced for a range of serious crimes will not make the cut.

Formula One can be expected to "hit a glitch" as the sport tries to complete a 2020 season stalled by the coronavirus pandemic, McLaren boss Zak Brown said on Monday.

Different players, very different contracts. Some guys have deals that are shutdown-proof. Others? They have more to prove.

In fact, they're the worst of the worst.

Labourers’ plight contrasts with affluent Indians flown home from abroad in coronavirus crisis

• Coronavirus – latest updates
• See all our coronavirus coverage

Migrant labourers in Indian cities whose incomes have plummeted as a result of anti-coronavirus lockdown measures have been told that they will have to pay to board special trains taking them back to their homes in the countryside.

The decision has prompted derision in India, where most labourers live off what they earn in a day and have been surviving on state handouts.

With temperatures dropping below 30's this week. The Indian's not only said their farewell to the beautiful weather, they also said farewell to 4 seniors. Maverick Lang, Victor DeMarco, Kaleb Burns and Devin Leitka will be graduating from Haskell.

Sooners senior Maggie Nichols never could have envisioned how her NCAA gymnastics career would end, but the unprecedented events don't take away from all she accomplished.

The game had star power, sizzle and 14 total goals. Plus, we debate Lemieux's status in the GOAT rankings, and how these Penguins would fare in today's NHL.

From building more than 10 scenarios for the return of fans to pitches from local entrepreneurs, the Sharks have remained busy while no hockey is being played.

Experts are trying to figure out why the coronavirus is so capricious. The answers could determine how to best protect ourselves and how long we have to.

Los expertos se preguntan por qué el coronavirus es tan caprichoso. Las respuestas pueden determinar el mejor modo de protegernos y durante cuánto tiempo tendremos que hacerlo.

Players are working out creatively, but can't replace the intensity of team training.

This week Cross Country is training for their first home meet on Saturday October 12, 2019 at 9:15 & 10:00 am during Homcoming Weekend!

At 10:30 AM PST Dorian and Max will be off running!

This is the 22nd installment of The Rationalist, my column for the Times of India.

Trade wars are on the rise, and it’s enough to get any nationalist all het up and excited. Earlier this week, Narendra Modi’s government announced that it would start imposing tariffs on 28 US products starting today. This is a response to similar treatment towards us from the US.

There is one thing I would invite you to consider: Trump and Modi are not engaged in a war with each other. Instead, they are waging war on their own people.

Let’s unpack that a bit. Part of the reason Trump came to power is that he provided simple and wrong answers for people’s problems. He responded to the growing jobs crisis in middle America with two explanations: one, foreigners are coming and taking your jobs; two, your jobs are being shipped overseas.

Both explanations are wrong but intuitive, and they worked for Trump. (He is stupid enough that he probably did not create these narratives for votes but actually believes them.) The first of those leads to the demonising of immigrants. The second leads to a demonising of trade. Trump has acted on his rhetoric after becoming president, and a modern US version of our old ‘Indira is India’ slogan might well be, “Trump is Tariff. Tariff is Trump.”

Contrary to the fulminations of the economically illiterate, all tariffs are bad, without exception. Let me illustrate this with an example. Say there is a fictional product called Brump. A local Brump costs Rs 100. Foreign manufacturers appear and offer better Brumps at a cheaper price, say Rs 90. Consumers shift to foreign Brumps.

Manufacturers of local Brumps get angry, and form an interest group. They lobby the government – or bribe it with campaign contributions – to impose a tariff on import of Brumps. The government puts a 20-rupee tariff. The foreign Brumps now cost Rs 110, and people start buying local Brumps again. This is a good thing, right? Local businesses have been helped, and local jobs have been saved.

But this is only the seen effect. The unseen effect of this tariff is that millions of Brump buyers would have saved Rs 10-per-Brump if there were no tariffs. This money would have gone out into the economy, been part of new demand, generated more jobs. Everyone would have been better off, and the overall standard of living would have been higher.

That brings to me to an essential truth about tariffs. Every tariff is a tax on your own people. And every intervention in markets amounts to a distribution of wealth from the people at large to specific interest groups. (In other words, from the poor to the rich.) The costs of this are dispersed and invisible – what is Rs 10 to any of us? – and the benefits are large and worth fighting for: Local manufacturers of Brumps can make crores extra. Much modern politics amounts to manufacturers of Brumps buying politicians to redistribute money from us to them.

There are second-order effects of protectionism as well. When the US imposes tariffs on other countries, those countries may respond by imposing tariffs back. Raw materials for many goods made locally are imported, and as these become expensive, so do those goods. That quintessential American product, the iPhone, uses parts from 43 countries. As local products rise in price because of expensive foreign parts, prices rise, demand goes down, jobs are lost, and everyone is worse off.

Trump keeps talking about how he wants to ‘win’ at trade, but trade is not a zero-sum game. The most misunderstood term in our times is probably ‘trade-deficit’. A country has a trade deficit when it imports more than what it exports, and Trump thinks of that as a bad thing. It is not. I run a trade deficit with my domestic help and my local grocery store. I buy more from them than they do from me. That is fine, because we all benefit. It is a win-win game.

Similarly, trade between countries is really trade between the people of both countries – and people trade with each other because they are both better off. To interfere in that process is to reduce the value created in their lives. It is immoral. To modify a slogan often identified with libertarians like me, ‘Tariffs are Theft.’

These trade wars, thus, carry a touch of the absurd. Any leader who imposes tariffs is imposing a tax on his own people. Just see the chain of events: Trump taxes the American people. In retaliation, Modi taxes the Indian people. Trump raises taxes. Modi raises taxes. Nationalists in both countries cheer. Interests groups in both countries laugh their way to the bank.

What kind of idiocy is this? How long will this lose-lose game continue?

© 2007 IndiaUncut.com. All rights reserved.
India Uncut * The IU Blog * Rave Out * Extrowords * Workoutable * Linkastic

Design and verification standards are critical if we want to get a new generation of Internet of Things (IoT) devices into the market, according to panelists at an Accellera Systems Initiative breakfast at the Design Automation Conference (DAC 2015) June 9. However, IoT devices for different vertical markets pose very different challenges and requirements, making the standards picture extremely complicated.

The panel was titled “Design and Verification Standards in the Era of IoT.” It was moderated by industry editor John Blyler, CEO of JB Systems Media and Technology. Panelists were as follows, shown left to right in the photo below:

• Lu Dai, director of engineering, Qualcomm
• Wael William Diab, senior director for strategy marketing, industry development and standardization, Huawei
• Chris Rowen, CTO, IP Group, Cadence Design Systems, Inc.

In opening remarks, Blyler recalled a conversation from the recent IEEE International Microwave Symposium in which a panelist pointed to the networking and application layers as the key problem areas for RF and wireless standardization. Similarly, in the IoT space, we need to look “higher up” at the systems level and consider both software and hardware development, Blyler said.

Rowen helped set some context for the discussion by noting three important points about IoT:

• IoT is not a product segment. Vertical product segments such as automotive, medical devices, and home automation all have very different characteristics.
• IoT “devices” are components within a hierarchy of systems that includes sensors, applications, user interface, gateway application (such as cell phone), and finally the cloud, where all data is aggregated.
• A bifurcation is taking place in design. We are going from extreme scale SoCs to “extreme fit” SoCs that are specialized, low energy, and very low cost.

Here are some of the questions and answers that were addressed during the panel discussion.

Q: The claim was recently made that given the level of interaction between sensors and gateways, 50X more verification nodes would have to be checked for IoT. What standards need to be enhanced or changed to accomplish that?

Rowen: That’s a huge number of design dimensions, and the way you attack a problem of that scale is by modularization. You define areas that are protected and encapsulated by standards, and you prove that individual elements will be compliant with that interface. We will see that many interesting problems will be in the software layers.

Q: Why is standardization so important for IoT?

Dai: A company that is trying to make a lot of chips has to deal with a variety of standards. If you have to deal with hundreds of standards, it’s a big bottleneck for bringing your products to market. If you have good standardization within the development process of the IC, that helps time to market.

When I first joined Qualcomm a few years ago, there was no internal verification methodology. When we had a new hire, it took months to ramp up on our internal methodology to become effective. Then came UVM [Universal Verification Methodology], and as UVM became standard, we reduced our ramp-up time tremendously. We’ve seen good engineers ramp up within days.

Diab: When we start to look at standards, we have to do a better job of understanding how they’re all going to play with each other. I don’t think one set of standards can solve the IoT problem. Some standards can grow vertically in markets like industrial, and other standards are getting more horizontal. Security is very important and is probably one thing that goes horizontally.

Requirements for verticals may be different, but processing capability, latency, bandwidth, and messaging capability are common [horizontal] concerns. I think a lot of standards organizations this year will work on horizontal slices [of IoT].

Q: IoT interoperability is important. Any suggestions for getting that done and moving forward?

Rowen: The interoperability problem is that many of these [IoT] devices are wireless. Wireless is interesting because it is really hard – it’s not like a USB plug. Wireless lacks the infrastructure that exists today around wired standards. If we do things in a heavily wireless way, there will be major barriers to overcome.

Dai: There are different standards for 4G LTE technology for different [geographical] markets. We have to make a chip that can work for 20 or 30 wireless technologies, and the cost for that is tremendous. The U.S., Europe, and China all have different tweaks. A good standard that works across the globe would reduce the cost a lot.

Q: If we’re talking about the need to define requirements, a good example to look at is power. Certainly you have UPF [Unified Power Format] for the chip, board, and module.

Rowen: There is certainly a big role for standards about power management. But there is also a domain in which we’re woefully under-equipped, and that is the ability to accurately model the different power usage scenarios at the applications level. Too often power devolves into something that runs over thousands of cycles to confirm that you can switch between power management levels successfully. That’s important, but it tells you very little about how much power your system is going to dissipate.

Dai: There are products that claim to be UPF compliant, but my biggest problem with my most recent chip was still with UPF. These tools are not necessarily 100% UPF compliant.

One other concern I have is that I cannot get one simulator to pass my Verilog code and then go to another that will pass. Even though we have a lot of tools, there is no certification process for a language standard.

Q: When we create a standard, does there need to be a companion compliance test?

Rowen: I think compliance is important. Compliance is being able to prove that you followed what you said you would follow. It also plays into functional safety requirements, where you need to prove you adhered to the flow.

Dai: When we [Qualcomm] sell our 4G chips, we have to go through a lot of certifications. It’s often a differentiating factor.

Q: For IoT you need power management and verification that includes analog. Comments?

Rowen: Small, cheap sensor nodes tend to be very analog-rich, lower scale in terms of digital content, and have lots of software. Part of understanding what’s different about standardization is built on understanding what’s different about the design process, and what does it mean to have a software-rich and analog-rich world.

Dai: Analog is important in this era of IoT. Analog needs to come into the standards community.

Richard Goering

Cadence Blog Posts About DAC 2015

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DAC 2015: Lip-Bu Tan, Cadence CEO, Sees Profound Changes in Semiconductors and EDA

DAC 2015: “Level of Compute in Vision Processing Extraordinary” – Chris Rowen

DAC 2015: Can We Build a Virtual Silicon Valley?

DAC 2015: Cadence Vision-Design Presentation Wins Best Paper Honors

Cadence has a new white paper out on Computational Software . I've written on these topics in Breakfast Bytes, most recently in the posts: Computational Software System Analysis: Computational...

[[ Click on the title to access the full blog on the Cadence Community site. ]]

Hello,

Would anyone know how to setup a PSS or QPSS simulation with 25% dutycycle clock sources or if such a thing is possible with QPSS.

Fig1 (below) is a snapshot of the circuit I am trying to characterize. This has 4 clock ports each with 25%duty cycle in the ON state. Fig2 below shows two of these clocks.

Each path in the circuit consists of two switches with a low pass RC sandwiched in between. The Input is a 50Ohm port sine wave and the output is a 1K resistor. The output nets of all paths are connected together.

I am trying to determine the swept frequency response from input to output (voltage) when the input is from 500Mhz to  510MHz. The Period (T=1/Fp) of each of the pulses is such that Fp=500MHz. The first pulse source has a delay=0, second has delay=T/4, third delay=2T/4, etc...

I am currently getting it working and seeing the correct result (bandpass response) with Transient but the problem is doing a dft at 500MHz with 10KHz spacings needs at least 100us and takes up a lot of time and disk space.

Many Thanks,
Chris.

Fig1

Fig2

I would like to generate the comparison report of database footprint with library footprint if any mismatch available.

Is there a way to take if it possible means can anyone please guide me or share me the skill code please.

Thanks,

Pradeep

This is the 22nd installment of The Rationalist, my column for the Times of India.

Trade wars are on the rise, and it’s enough to get any nationalist all het up and excited. Earlier this week, Narendra Modi’s government announced that it would start imposing tariffs on 28 US products starting today. This is a response to similar treatment towards us from the US.

There is one thing I would invite you to consider: Trump and Modi are not engaged in a war with each other. Instead, they are waging war on their own people.

Let’s unpack that a bit. Part of the reason Trump came to power is that he provided simple and wrong answers for people’s problems. He responded to the growing jobs crisis in middle America with two explanations: one, foreigners are coming and taking your jobs; two, your jobs are being shipped overseas.

Both explanations are wrong but intuitive, and they worked for Trump. (He is stupid enough that he probably did not create these narratives for votes but actually believes them.) The first of those leads to the demonising of immigrants. The second leads to a demonising of trade. Trump has acted on his rhetoric after becoming president, and a modern US version of our old ‘Indira is India’ slogan might well be, “Trump is Tariff. Tariff is Trump.”

Contrary to the fulminations of the economically illiterate, all tariffs are bad, without exception. Let me illustrate this with an example. Say there is a fictional product called Brump. A local Brump costs Rs 100. Foreign manufacturers appear and offer better Brumps at a cheaper price, say Rs 90. Consumers shift to foreign Brumps.

Manufacturers of local Brumps get angry, and form an interest group. They lobby the government – or bribe it with campaign contributions – to impose a tariff on import of Brumps. The government puts a 20-rupee tariff. The foreign Brumps now cost Rs 110, and people start buying local Brumps again. This is a good thing, right? Local businesses have been helped, and local jobs have been saved.

But this is only the seen effect. The unseen effect of this tariff is that millions of Brump buyers would have saved Rs 10-per-Brump if there were no tariffs. This money would have gone out into the economy, been part of new demand, generated more jobs. Everyone would have been better off, and the overall standard of living would have been higher.

That brings to me to an essential truth about tariffs. Every tariff is a tax on your own people. And every intervention in markets amounts to a distribution of wealth from the people at large to specific interest groups. (In other words, from the poor to the rich.) The costs of this are dispersed and invisible – what is Rs 10 to any of us? – and the benefits are large and worth fighting for: Local manufacturers of Brumps can make crores extra. Much modern politics amounts to manufacturers of Brumps buying politicians to redistribute money from us to them.

There are second-order effects of protectionism as well. When the US imposes tariffs on other countries, those countries may respond by imposing tariffs back. Raw materials for many goods made locally are imported, and as these become expensive, so do those goods. That quintessential American product, the iPhone, uses parts from 43 countries. As local products rise in price because of expensive foreign parts, prices rise, demand goes down, jobs are lost, and everyone is worse off.

Trump keeps talking about how he wants to ‘win’ at trade, but trade is not a zero-sum game. The most misunderstood term in our times is probably ‘trade-deficit’. A country has a trade deficit when it imports more than what it exports, and Trump thinks of that as a bad thing. It is not. I run a trade deficit with my domestic help and my local grocery store. I buy more from them than they do from me. That is fine, because we all benefit. It is a win-win game.

Similarly, trade between countries is really trade between the people of both countries – and people trade with each other because they are both better off. To interfere in that process is to reduce the value created in their lives. It is immoral. To modify a slogan often identified with libertarians like me, ‘Tariffs are Theft.’

These trade wars, thus, carry a touch of the absurd. Any leader who imposes tariffs is imposing a tax on his own people. Just see the chain of events: Trump taxes the American people. In retaliation, Modi taxes the Indian people. Trump raises taxes. Modi raises taxes. Nationalists in both countries cheer. Interests groups in both countries laugh their way to the bank.

What kind of idiocy is this? How long will this lose-lose game continue?

The India Uncut Blog © 2010 Amit Varma. All rights reserved.
Follow me on Twitter.

Is it possible to change trace ends from round to square? Allegro PCB Designer 17.2 (basic)

Thanks

Optimizing power can be a very convoluted and crucial process. To make design chips meet throughput goals along with optimal power consumption, you need to plan right from the beginning! (read more)

Key Findings: Advantest, in mixed-signal SoC design, sees 50X speedup, 25 day test reduced to 12 hours, dramatic test coverage increase.

Trolling through the CDNLive archives, I discovered another gem. At the May 2013 CDNLive in Munich, Thomas Henkel and Henriette Ossoinig of Advantest presented a paper titled “Timing-accurate emulation of a mixed-signal SoC using Palladium XP”. Advantest makes advanced electronics test equipment. Among the semiconductor designs they create for these products is a test processor chip with over 100 million logic transistors, but also with lots of analog functions.They set out to find a way to speed up their full-chip simulations to a point where they could run the system software. To do that, they needed about a 50X speed-up. Well, they did it!

Figure 1: Advantest SoC Test Products

To skip the commentary, read Advantest's paper here. 

Problem Statement

Software is becoming a bigger part of just about every hardware product in every market today, and that includes the semiconductor test market. To achieve high product quality in the shortest amount of time, the hardware and software components need to be verified together as early in the design cycle as possible. However, the throughput of a typical software RTL simulation is not sufficient to run significant amounts of software on a design with hundreds of millions of transistors.  

Executing software on RTL models of the hardware means long runs  (“deep cycles”) that are a great fit for an emulator, but the mixed-signal content posed a new type of challenge for the Advantest team.  Emulators are designed to run digital logic. Analog is really outside of the expected use model. The Advantest team examined the pros and cons of various co-simulation and acceleration flows intended for mixed signal and did not feel that they could possibly get the performance they needed to have practical runtimes with software testbenches. They became determined to find a way to apply their Palladium XP platform to the problem.

Armed with the knowledge of the essential relationship between the analog operations and the logic and software operations, the team was able to craft models of the analog blocks using reduction techniques that accurately depicted the essence of the analog function required for hardware-software verification without the expense of a continuous time simulation engine.

The requirements boiled down to the following:

• Generation of digital signals with highly accurate and flexible timing

• Complete chip needs to run on Palladium XP platform

• Create high-resolution timing (100fs) with reasonable emulation performance, i.e. at least 50X faster than simulation on the fastest workstations

Solution Idea

The solution approach chosen was to simplify the functional model of the analog elements of the design down to generation of digital signal edges with high timing accuracy. The solution employed a fixed-frequency central clock that was used as a reference.Timing-critical analog signals used to produce accurately placed digital outputs were encoded into multi-bit representations that modeled the transition and timing behavior. A cell library was created that took the encoded signals and converted them to desired “regular signals”. 

Automation was added to the process by changing the netlisting to widen the analog signals according to user-specified schematic annotations. All of this was done in a fashion that is compatible with debugging in Cadence’s Simvision tool.  Details on all of these facets to follow.

The Timing Description Unit (TDU) Format

The innovative thinking that enabled the use of Palladium XP was the idea of combining a reference clock and quantized signal encoding to create offsets from the reference. The implementation of these ideas was done in a general manner so that different bit widths could easily be used to control the quantization accuracy.

Figure 2: Quantization method using signal encoding

Timed Cell Modeling

You might be thinking – timing and emulation, together..!?  Yes, and here’s a method to do it….

The engineering work in realizing the TDU idea involved the creation of a library of cells that could be used to compose the functions that convert the encoded signal into the “real signals” (timing-accurate digital output signals). Beyond some basic logic cells (e.g., INV, AND, OR, MUX, DFF, TFF, LATCH), some special cells such as window-latch, phase-detect, vernier-delay-line, and clock-generator were created. The converter functions were all composed from these basic cells. This approach ensured an easy path from design into emulation.

The solution was made parameterizable to handle varying needs for accuracy.  Single bit inputs need to be translated into transitions at offset zero or a high or low coding depending on the previous state.  Single bit outputs deliver the final state of the high-resolution output either at time zero, the next falling, or the next rising edge of the grid clock, selectable by parameter. Output transitions can optionally be filtered to conform to a configurable minimum pulse width.

Timed Cell Structure

There are four critical elements to the design of the conversion function blocks (time cells):

                Input conditioning – convert to zero-offset, optional glitch preservation, and multi-cycle path

                Transition sorting – sort transitions according to timing offset and specified precedence

                Function – for each input transition, create appropriate output transition

                Output filtering – Capability to optionally remove multiple transitions, zero-width, pulses, etc.

Timed Cell Caveat

All of the cells are combinational and deliver a result in the same cycle of an input transition. This holds for storage elements as well. For example a DFF will have a feedback to hold its state. Because feedback creates combinational loops, the loops need a designation to be broken (using a brk input conditioning function in this case – more on this later). This creates an additional requirement for flip-flop clock signals to be restricted to two edges per reference clock cycle.

Note that without minimum width filtering, the number of output transitions of logic gates is the sum of all input transitions (potentially lots of switching activity). Also note that the delay cell has the effect of doubling the number of output transitions per input transition.

Figure 3: Edge doubling will increase switching during execution

SimVision Debug Support

The debug process was set up to revolve around VCD file processing and directed and viewed within the SimVision debug tool. In order to understand what is going on from a functional standpoint, the raw simulation output processes the encoded signals so that they appear as high-precision timing signals in the waveform viewer. The flow is shown in the figure below.

Figure 4: Waveform post-processing flow

The result is the flow is a functional debug view that includes association across representations of the design and testbench, including those high-precision timing signals.

Figure 5: Simvision debug window setup

Overview of the Design Under Verification (DUV)

Verification has to prove that analog design works correctly together with the digital part. The critical elements to verify include:

• Programmable delay lines move data edges with sub-ps resolution

• PLL generates clocks with wide range of programmable frequency

• High-speed data stream at output of analog is correct

These goals can be achieved only if parts of the analog design are represented with fine resolution timing.

Figure 6: Mixed-signal design partitioning for verification

How to Get to a Verilog Model of the Analog Design

There was an existing Verilog cell library with basic building blocks that included:

- Gates, flip-flops, muxes, latches

- Behavioral models of programmable delay elements, PLL, loop filter, phase detector

With a traditional simulation approach, a cell-based netlist of the analog schematic is created. This netlist is integrated with the Verilog description of the digital design and can be simulated with a normal workstation. To use Palladium simulation, the (non-synthesizable) portions of the analog design that require fine resolution timing have to be replaced by digital timing representation. This modeling task is completed by using a combination of the existing Verilog cell library and the newly developed timed cells.

Loop Breaking

One of the chief characteristics of the timed cells is that they contain only combinational cells that propagate logic from inputs to outputs. Any feedback from a cell’s transitive fanout back to an input creates a combinational loop that must be broken to reach a steady state. Although the Palladium XP loop breaking algorithm works correctly, the timed cells provided a unique challenge that led to unpredictable results.  Thus, a process was developed to ensure predictable loop breaking behavior. The user input to the process was to provide a property at the loop origin that the netlister recognized and translated to the appropriate loop breaking directives.

Augmented Netlisting

Ease of use and flow automation were two primary considerations in creating a solution that could be deployed more broadly. That made creating a one-step netlisting process a high-value item. The signal point annotation and automatic hierarchy expansion of the “digital timing” parameter helped achieve that goal. The netlister was enriched to identify the key schematic annotations at any point in the hierarchy, including bit and bus signals.

Consistency checking and annotation reporting created a log useful in debugging and evolving the solution.

Wrapper Cell Modeling and Verification

The netlister generates a list of schematic instances at the designated “netlister stop level” for each instance the requires a Verilog model with fine resolution timing. For the design in this paper there were 160 such instances.

The library of timed cells was created; these cells were actually “wrapper” cells comprised of the primitives for timed cell modeling described above. A new verification flow was created that used the behavior of the primitive cells as a reference for the expected behavior of the composed cells. The testing of the composed cells included had the timing width parameter set to 1 to enable direct comparison to the primitive cells. The Cadence Incisive Enterprise Simullator tool was successfully employed to perform assertion-based verification of the composed cells versus the existing primitive cells.

Mapping and Long Paths

Initial experiments showed that inclusion of the fine resolution timed cells into the digital emulation environment would about double the required capacity per run. As previously pointed out, the timed cells having only combinational forward paths creates a loop issue. This fact also had the result of creating some such paths that were more than 5,000 steps of logic. A timed cell optimization process helped to solve this problem. The basic idea was to break the path up by adding flip-flops in strategic locations to reduce combinational path length. The reason that this is important is that the maximum achievable emulation speed is related to combinational path length.

Results

Once the flow was in place, and some realistic test cases were run through it, some further performance tuning opportunities were discovered to additionally reduce runtimes (e.g., Palladium XP tbrun mode was used to gain speed). The reference used for overall speed gains on this solution was versus a purely software-based solution on the highest performance workstation available.

The findings of the performance comparison were startlingly good:

• On Palladium XP, the simulation speed is 50X faster than on Advantest’s fastest workstation

• Software simulation running 25 days can now be run in 12 hours -> realistic runtime enables long-running tests that were not feasible before

• Now have 500 tests that execute once in more than 48 hours

• They can be run much more frequently using randomization and this will increase test coverage dramatically

Steve Carlson

Hello,

I'm reading the Design specification for IP6514E.

We will use the DAC mode.

It would seem to be very simple but I don't see any code sequence, i.e.

  1.Write 03(Basic Read) to this register

  2, Write start adress to this register

  3. Write "execute" to this register

  4. Read the data from this register

Thanks,

Stefan

Bumps are central to the Virtuoso MultiTech Framework solution. Bumps provide a connection between stacked ICs, interposers, packages, and boards. Bump locations, connectivity, and other attributes are the basis for creating TILPs, which we combine to create system-level layouts.(read more)

Do you want to create designs that are correct by construction? Read along this blog to understand how you can achieve this by using Width Spacing Patterns (WSPs) in your designs. WSPs, are track lines that provide guidance for quickly creating wires. Defining WSPs that capture the width-dependent spacing rules, and snapping the pathSegs of a wire to them, ensures that the wires meet width-dependent spacing rules.(read more)

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રિલાયન્સ ઇન્ડસ્ટ્રીઝ ગુજરાત અને મહારાષ્ટ્ર મુખ્યમંત્રી રાહતનિધી ફંડમાં 5-5 કરોડ રૂપિયા આપશે. આગામી 10 દિવસ માટે 5 લાખ લોકોના ભોજનની પણ વ્યવસ્થા કરશે.

પ્રોસસે વર્ષ 2005માં પાંચ અબજ ડૉલર (આશરે 37,900 કરોડ રૂપિયા)નું ભારતીય ટેક્નોલોજી કંપનીઓમાં રોકાણ કર્યું હતું.

Share Market માં સારા સમાચાર, 24 કેરેટ સોનાનો ભાવ 48 હજારને પાર

ચાલો જરૂરિયાતના આવા સમયે એકબીજાને મદદ કરીએ, અને આ મદદ કરવા માટે અમારી પાસે એક સરળ રીત છે.

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