The Race To Design Larger Systems


For more than a decade, tools vendors and design houses have been talking about leveraging their tools and expertise to help design systems of systems. They're finally getting their chance. The basic idea behind this strategy has always been that issues inside any electronic system—performance, power, signal integrity, area—have all been dealt all the way down to the sub-atomic level in ... » read more

Reduction In First Silicon Success


Every two years, Harry Foster, chief scientist for Mentor, a Siemens Business, works with Wilson Research to do a verification study. Those studies have influenced many in the industry, indicating where users are experiencing the most pain, spending their time, growing their team sizes and where money would be best spent. However, over the past four years, the ASIC industry has basically been i... » read more

Make-Or-Break Time For Portable Stimulus


I’m pretty upbeat when it comes to portable stimulus. Or maybe it’d be better to say I’m pretty upbeat on the idea of portable stimulus. While doing my best to brush aside the usual EDA propaganda (propaganda I’ve found to be a bit haphazard, but more on that in a minute), I’ve put a lot of thought into how portable stimulus could fit into verification flows, the purpose of using it a... » read more

Integrating Results And Coverage From Simulation And Formal


Not so long ago, formal verification was considered an exotic technology used only by specialists for specific verification challenges such as cache coherency. As chips have grown ceaselessly in size and complexity, the traditional verification method of simulation could not keep pace. The task of generating and running enough tests consumed enormous resources in terms of engineers, simulation ... » read more

Implementing Mathematical Algorithms In Hardware For Artificial Intelligence


Petabytes of data efficiently travels between edge devices and data centers for processing and computing of AI functions. Accurate and optimized hardware implementations of functions offload many operations that the processing unit would have to execute. As the mathematical algorithms used in AI-based systems evolve, and in some cases stabilize, the demand to implement them in hardware increase... » read more

Improving Library Characterization Quality And Runtime With Machine Learning


By Megan Marsh and Wei-Lii Tan Today’s semiconductor applications, ranging from advanced sensory applications, IoT, edge computing devices, high performance computing, to dedicated A.I. chips, are constantly pushing the boundaries of attainable power, performance, and area (PPA) metrics. The race to design and ship these innovative devices has resulted in a focused, time-to-market-driven e... » read more

High-Speed Serial Comms: Getting There Is Half The Fun


Last month I wrote about our 56G SerDes announcement – silicon validated and running in Rome at a major show. We had a great time at that show and got a lot of compliments about the quality and flexibility of our SerDes. These kinds of unfiltered, unsolicited customer comments are really what makes it all worthwhile. It was a gratifying and exciting time. This month, we’re at it again. O... » read more

The Power Of Ecosystems At Arm TechCon 2018


I have long been fascinated by the workings of ecosystems. Last week’s Arm TechCon in San Jose was a textbook example of how ecosystems work, overlap and how the electronics development work is indeed like a village—it takes many players to make things happen to enable end users to receive the latest gadgets like phones, fitness trackers, electronic watches, etc. The game of electronic ecos... » read more

What Will Intel Do Next?


The writing is on the wall for big processor makers. Apple, Amazon, Facebook and Google are developing their own processors. In addition, there are more than 30 startups developing various types of AI accelerators, as well as a field of embedded FPGA vendors, a couple of discrete FPGA makers, and a slew of soft processor cores. This certainly hasn't been lost on Intel. As the world's largest... » read more

The Perfect Risk


The development of semiconductors is an act of risk management. Very simply put, if you take on too much risk, it could lead to product failure or a missed market window, both of which can cost $M. For a company that only produces one or two products a year, that can spell total disaster. If you do not take on enough risk, you are probably not going to end up with a competitive product that ... » read more

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