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Mixed-signal design creates all sorts of interesting problems for implementation and verification flows, particularly when it comes to design for low power. We tend to think of mixed-signal as a few blocks like PLLs, ADCs and PHYs on the periphery of the design. Constrain and verify the digital power requirements up to analog … Read More
I first met John Durbetaki at Intel in Aloha, Oregon and we both had a keen interest in the nascent personal computer industry. My first PC was made by Radio Shack and dubbed the TRS-80 which maxed out at 48KB of RAM. I kept watch on Durbetaki as he left Intel and formed his own company OrCAD in 1985 to serve the needs of PC-based CAD software.… Read More
For vision DSP IP running convolutional neural networks (CNNs), a big driver of performance is increasing the bits processed per cycle with parallel MACs. Tom Simon did a great job in recent posts of introducing CNNs at a high level, so I’ll look at what is architecturally behind Cadence’s latest announcement: the Tensilica Vision… Read More
I’ve mentioned many times what has become a very common theme in SoC and system verification – it has to be driven by the software because any concept of exhaustively verifying “everything” is neither feasible nor meaningful. Emulation has become a critical component of this flow in validating and regressing… Read More
Everyone knows that verification is hard and is consuming an increasing percentage of verification time and effort. And everyone should know that system-level verification (SoC plus at least some software and maybe models for other components on a board) is even harder—which is why you see hand-wringing over how incompletely… Read More
I talked with Paul Cunningham (VP front-end digital R&D) at CDNLive recently to get a Cadence perspective on digital design trends. He sees needs from traditional semiconductor companies evolving as usual, with disruption here and there from consolidation. But on the system side there is explosion in demand – for wearables,… Read More
Probably the most interesting thing about Neural Networks is how they can be used for complex recognition tasks that we as people can easily perform but we might have a lot of trouble explaining how. One very good example of a problem that Neural Networks can tackle is determining when people are making a fake smile. Intuitively we… Read More
This was the best keynote lineup I can remember at a user group meeting. All four speakers are visionaries but from very different perspectives. The video of the event will be up later this month but from my first count the word “System(s)” was mentioned 32 times and the underlying message will transform the semiconductor industry… Read More
Digital verification engineers have developed robust, thorough metrics for evaluating design coverage. Numerous tools are available to evaluate testbenches against RTL model descriptions — e.g., confirming that simulation regressions exhaustively exercise signal toggles, RTL statement lines, individual statement… Read More
In many ways, static timing analysis (STA) is more of an art than a science. Methodologists are faced with addressing complex phenomena that impact circuit delay — e.g., signal crosstalk, dynamic I*R supply voltage drop, temperature inversion, device aging effects, and especially (correlated and uncorrelated) process… Read More
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