We have talked about fault localization (root cause analysis) in several reviews. This early-release paper looks at applying LLM technology to the task. Paul Cunningham (GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO and now Silvaco CTO) and I continue our series on research… Read More
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
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
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
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
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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
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
As AI is redefining communication and connectivity, your ability to design, simulate, and test — using an intelligent and automated workflow — is what will set you apart.
Join us for a half-day event that brings together top industry experts and innovators to explore modern RF circuit and system design, including advanced topics… Read More
