Machine learning (ML) is the hot new technology of our time so EDA development teams are eagerly searching for new ways to optimize various facets of design using ML to distill wisdom from the mountains of data generated in previous designs. Pre-ML, we had little interest in historical data and would mostly look only at localized… Read More
Tag: machine learning
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
Cadence Explores Smarter Verification
Verification as an effectively unbounded problem will always stir debate on ways to improve. A natural response is to put heavy emphasis on making existing methods faster and more seamless. That’s certainly part of continuous improvement but sometimes we also need to step back and ask the bigger questions – what is sufficient … 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
We Need Libraries – Lots of Libraries
It was inevitable that machine learning (ML) would come to EDA. In fact, it has already been here a while in Solido’s variation tools. Now it has found an even more compelling application – library characterization. Just as ML has radically transformed other computational arenas; it looks like it will be extremely disruptive here… Read More
Lip-Bu on Opportunity
Given a chance to talk with someone as connected as Lip-Bu Tan (President and CEO of Cadence and Chairman of the VC firm Walden International), it is tempting to ask all the usual questions about industry growth and directions in cloud, automotive, IIoT, AI and so on. I wanted to try something different. If you make a living (or plan… Read More
NetSpeed Taking a Ride with Autonomous Automobiles
The push for autonomous automobiles continues at a rapid pace. Last week a new conference was held in Santa Clara, CA by the Linley Group focused on Autonomous Hardware. The group included presentations from GLOBAL FOUNDRIES, Synopsys, NetSpeed Systems, Arteris, EMBC, Cadence, CEVA, ARM and Trilumina covering ADAS and autonomous… Read More
Machine Learning and EDA!
Semiconductor design is littered with complex, data-driven challenges where the cost of error is high. Solido’s new ML (machine learning) Labs, based on Solido’s ML technologies developed over the last 12 years, allows semiconductor companies to collaboratively work with Solido in developing new ML-based EDA products.
Data… Read More
Machine Learning Accelerates Library Characterization by 50 Percent!
Standard cell, memory, and I/O library characterization is a necessary, but time-consuming, resource intensive, and error-prone process. With the added complexity of advanced and low power manufacturing processes, fast and accurate statistical and non-statistical characterization is challenging, creating the need … Read More
A Formal Feast
It’s not easy having to deliver one of the last tutorials on the last day of a conference. Synopsys drew that short straw for their tutorial on formal methodologies at DVCon this year. Despite that they delivered an impressive performance, keeping the attention of 60 attendees who said afterwards it was excellent on technical content,… Read More