AI, ML Chip Choices


Flex Logix’s Cheng Wang talks about which types of chips work best for neural networks, AI and machine learning. https://youtu.be/k7OdP7B10o8 » read more

Auto Chip Test Getting Harder


Chipmakers and test/validation companies are helping lead the effort to develop self-driving cars, but they are facing a wide range of technical and even cultural barriers. Advanced driver assist systems (ADAS) already are the most complex systems by far in modern cars, the best of which hover between Level 2 and Level 3 on the five-step autonomy ladder maintained by the Society of Automotiv... » read more

Pros, Cons Of ML-Specific Chips


Semiconductor Engineering sat down with Rob Aitken, an Arm fellow; Raik Brinkmann, CEO of OneSpin Solutions; Patrick Soheili, vice president of business and corporate development at eSilicon; and Chris Rowen, CEO of Babblelabs. What follows are excerpts of that conversation. To view part one, click here. Part two is here. SE: Is the industry's knowledge of machine learning keeping up with th... » read more

Will FPGAs Work As Expected?


OneSpin Solutions’ Muhammed Haque Khan, product specialist for synthesis verification, digs into equivalence checking in FPGA designs and what can go wrong with FPGA designs. https://youtu.be/RFlP2Z_-Yqs » read more

Where ML Works Best


Anirudh Devgan, president of Cadence, sat down with Semiconductor Engineering to discuss machine learning inside and outside of EDA tools and how that will affect the future of chip and system design. What follows are excerpts of that discussion. SE: How do you see the market and use of machine learning shaping up? Devgan: There are three main areas—machine learning inside, machine lear... » read more

FPGAs Drive Deeper Into Cars


FPGAs are reaching deeper and wider inside of automobiles, playing an increasingly important role across more systems within a vehicle as the electronic content continues to grow. The role of FPGAs in automotive cameras and sensors is already well established. But they also are winning sockets inside of a raft of new technologies, ranging from the AI systems that will become the central logi... » read more

Hardware Acceleration With eFPGAs


If integrating an embedded FPGA (eFPGA) into your ASIC or SoC design strikes you as odd, it shouldn’t. ICs have been absorbing almost every component on a circuit board for decades, starting with transistors, resistors, and capacitors –– then progressing to gates, ALUs, microprocessors, and memories. FPGAs are simply one more useful component in the tool box, available for decades and ... » read more

Speeding Up High-Frequency Trading


The High-Frequency Trading (HFT) industry has received a lot of attention during the last few years. HFT is all about speed and minimizing latency: the faster you can run trading strategies and algorithms for analyzing minute price changes and executing trade orders, the higher the probability to win over competition. So the competition in this area is very fierce with market players continuous... » read more

Resets And Reset Domain Crossings In ASIC And FPGA Designs


This white paper explains Reset-related ASIC and FPGA design issues as well as outlines commonly-used design techniques leading to safe reset implementations. It goes on to explain about Reset Domain Crossing effects and methods to mitigate their influence on design. LINT tools provide valuable help for designers in Resets and Reset Domain Crossings verification. To download this paper, clic... » read more

Xceler Systems: Graph Architecture


An inventor who made foundational contributions to three key ways we move data through complex systems is developing a new type of neuromorphic chip to accelerate AI applications. Rather than try to build a computer that looks like a brain, Gautam Kavipurapu and Xceler Systems are building smaller bits that act like synapses. When the design is advanced enough and there are enough of them, t... » read more

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