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Wally Rhines (President and CEO of Mentor, A Siemens Business) has been pushing a contrarian view versus the conventional wisdom that the semiconductor business, and by extension EDA, is slowing down. He pitched this at DVCon and more recently at U2U where I got to hear the pitch and talk to him afterwards.
What causes maturing is… Read More
The recent fatal accident involving an UBER autonomous car, was reportedly not caused – as initially assumed – by a failure of the many sensors on the car to recognize the cyclist. It was instead caused by a failure of the software to take the right decision in regard to that “object”. The system apparently… Read More
Machine learning is transforming how information processing works and what it can accomplish. The push to design hardware and networks to support machine learning applications is affecting every aspect of the semiconductor industry. In a video recently published by Synopsys, Navraj Nandra, Sr. Director of Marketing, takes… Read More
The traditional ways of boosting computing throughput are either to increase operating frequency or to use multiprocessing. The industry has done a good job of applying these techniques to maintain a steady increase in performance. However, there is a discontinuity in the needs for processing power. Artificial Intelligence… Read More
In March, an AI event was held at the Computer History Museum entitled “ASICs Unlock Deep Learning Innovation.” Along with Samsung, Amkor Technology and Northwest Logic, eSilicon explored how these companies form an ecosystem to develop deep learning chips for the next generation of AI applications. There was also a keynote … Read More
The end-to-end principle as defined by Wikipedia is a design framework in computer networking. In networks designed according to this principle, application-specific features reside in the communicating end nodes of the network, rather than in intermediary nodes, such as gateways and routers, that exist to establish the … Read More
Artificial Intelligence based systems are driving a metamorphosis in computing, and consequently precipitating a large shift in SOC design. AI training is often done in the cloud and has requirements for handling huge amounts of data with forward and backward data connections. Inference usually occurs at the edge and must be… Read More
Cadence has launched the new Tensilica Vision Q6 DSP IP, delivering 1.5x more performance than the former Vision P6 DSP IP and 1.25X better power efficiency. According with Cadence, the mobile industry is moving from traditional feature-based embedded vision to AI-based algorithm, even if all use cases still have mix of vision… Read More
If there was a central takeaway to Nvidia’s GTC event last week in San Jose it was this: autonomous vehicles are already operating or at least testing in virtual every corner of the planet including companies such as Tier IV and ZMP in Japan, and Pony.ai and Baidu in China. But two U.S. companies standout globally for the growing… Read More
Publishing eBooks on FPGA Prototyping and Emulation really was an eye opener for me as a long time EDA and IP professional. Both markets are considered EDA in the traditional sense but they are very much in the systems business with a lot of IP. Both markets are also growing very rapidly and operate side-by-side with complimentary… Read More
The Foundry Model Is Morphing — Again