Field-Programmable Gate Arrays (FPGAs) have long been celebrated for their unmatched flexibility and programmability compared to Application-Specific Integrated Circuits (ASICs). And the introduction of Embedded FPGAs (eFPGAs) took these advantages to new heights. eFPGAs offer on-the-fly reconfiguration capabilities,… Read More
Tag: AI
From System Design to Drug Design. The Rationale
I’m guessing that more than a few people were mystified (maybe still are) when Cadence acquired OpenEye Scientific, a company known for computational molecular design aimed at medical drug/therapeutics discovery. What could EDA, even SDA (system design automation), and drug discovery possibly have in common? More than you… Read More
New Tool that Synthesizes Python to RTL for AI Neural Network Code
AI and ML techniques are popular topics, yet there are considerable challenges to those that want to design and build an AI accelerator for inferencing, as you need a team that understands how to model a neural network in a language like Python, turn that model into RTL, then verify that your RTL matches Python. Researchers from CERN,… Read More
Anirudh Fireside Chats with Jensen and Cristiano
At CadenceLIVE 2024 Anirudh Devgan (President and CEO of Cadence) hosted two fireside chats, one with Jensen Huang (President and CEO of NVIDIA) and one with Cristiano Amon (President and CEO of Qualcomm). As you would expect both discussions were engaging and enlightening. What follows are my takeaways from those chats.
Anirudh
… Read MoreAnirudh Keynote at CadenceLIVE 2024. Big Advances, Big Goals
The great things about CEO keynotes, at least from larger companies, is that you not only learn about recent advances but you also get a sense of the underlying algorithm for growth. Particularly reinforced when followed by discussions with high profile partner CEOs on their directions and areas of common interest. I saw this recently… Read More
Alphawave Semi Bridges from Theory to Reality in Chiplet-Based AI
GenAI, the most talked-about manifestation of AI these days, imposes two tough constraints on a hardware platform. First, it demands massive memory to serve large language model with billions of parameters. Feasible in principle for a processor plus big DRAM off-chip and perhaps for some inference applications but too slow … Read More
Lifecycle Management, FuSa, Reliability and More for Automotive Electronics
Synopsys recently hosted an information rich-webinar, modestly titled “Improving Quality, FuSa, Reliability, and Security in Automotive Semiconductors”. I think they undersold the event; this was really about managing all of those things through the lifecycle of a car, in line with auto OEMs strategies for the future of the… Read More
Podcast EP219: How Synopsys Addresses Debug and Coverage Closure Challenges with Robert Ruiz
Dan is joined by Robert Ruiz, product management director responsible for strategy and business growth of several verification products at Synopsys. Robert has held various marketing and technical positions for leading functional verification and test automation products at various companies including Synopsys, Novas… Read More
Managing Power at Datacenter Scale
That datacenters are power hogs is not news, especially now AI is further aggravating this challenge. I found a recent proteanTecs-hosted panel on power challenges in datacenter infrastructure quite educational both in quantifying the scale of the problem and in understanding what steps are being taken to slow growth in power… Read More
The Data Crisis is Unfolding – Are We Ready?
The rapid advancement of technology, including generative AI, IoT, and autonomous vehicles, is revolutionizing industries and enhancing efficiency. At the same time, such advances also generate huge amounts of data to be transmitted and processed to make sense and provide value to consumers and society as a whole. In essence,… Read More
