Traditionally, EDA has been a brute force methodology where we buy more software licenses and more CPUs and keep running endless jobs to keep up with the increasing design and process complexities. SPICE simulation for example; when I meet chip designers (which I do quite frequently) I ask them how many simulations they do for a … Read More
Tag: nvidia
Virtualizing ICE
The defining characteristic of In-Circuit-Emulation (ICE) has been that the emulator is connected to real circuitry – a storage device perhaps, and PCIe or Ethernet interfaces. The advantage is that you can test your emulated model against real traffic and responses, rather than an interface model which may not fully capture… Read More
HLS update from Mentor about Catapult
I recall back in the late 1980’s when logic synthesis tools were first commercialized, at first they could read in a gate-level netlist from one foundry then output an optimized netlist back into the same foundry. Next, they could migrate your gate-level netlist from Vendor A over to Vendor B, giving design companies some… Read More
Machine Learning in EDA Flows – Solido DAC Panel
At DAC this year you could learn a lot about hardware design for AI or Machine Learning (ML) applications. We are all familiar with the massively parallel hardware being developed for autonomous vehicles, cloud computing, search engines and the like. This includes, for instance, hardware from Nvidia and others that enable ML … Read More
Nvidia Handles Data, Senate with Care
When speaking before the U.S. Senate or Congress one has to choose one’s words carefully. The temptation, when one is speaking before legislators and microphones and cameras, is to tell it like it is and speak truth to power. The reality is that the power of the legislators and the microphones and the cameras must be respected and,… Read More
EDA Powered by Machine Learning panel, 1-on-1 demos, and more!
DAC is upon us again! The Design Automation Conference holds special meaning to me as it was the first technical conference I attended as a semiconductor professional, or professional anything for that matter. That was 33 years ago and I have not missed one since. This year my wife and I both will be walking the DAC floor and it would… Read More
NVIDIA on a Tear at CES
Jen-Hsun Huang, CEO of NVIDIA, gave the opening keynote at CES this year. That’s hardly surprising. From a company that operated on the fringes of mainstream awareness (those guys that do gamer graphics), they finished 2016 as the top-performing company in the S&P 500, returning revenue growth of 35% (forecast). That’s startup… Read More
NVIDIA’s Deep Learning GPUs Driving Your Car!
In a recent SemiWiki article it was noted that 5 of the top 20 semiconductor suppliers are showing double-digit gains for 2016. At the top of the list was NVIDIA with an annual growth rate of 35%. Most of this gain is due to sales of its graphics processors (GPUs) which one normally associates with high performance computer gaming engines.… Read More
Nvidia Drives into New Market with Deep Learning and the Drive PX 2
Nvidia has found that video games are the perfect metaphor for autonomous driving. To understand why this is so relevant you have to realize that the way self-driving cars see the world is through a virtual world created in real time inside the processors used for autonomous driving – very much like a video game. It’s a little bit like… Read More
Automobility: The Bot in a Box Boom
The Automobility event, which starts today ahead of the Los Angeles Auto Show, will be remembered for introducing the bot in a box. While Ford Motor Company President and CEO Mark Fields will take the stage this morning to tout Ford’s leadership in transforming transportation with new vehicle ownership models and mass produced… Read More