It is an unavoidable fact that machine learning (ML) hardware architectures are evolving rapidly. Initially most visible in datacenters (many hyperscalars have built their own AI chips), the trend is now red-hot in inference engines for the edge, each spinning new ground-breaking methods. Markets demand these advances to … Read More
Tag: bernard murphy
Tensilica Edge Advances at Linley
The Linley spring conference this year had a significant focus on AI at the edge, with all that implies. Low power/energy is a key consideration, though increasing performance demands for some applications are making this more challenging. David Bell (Product Marketing at Tensilica, Cadence) presented the Tensilica NNE110… Read More
ML-Based Coverage Refinement. Innovation in Verification
We’re always looking for ways to leverage machine-learning (ML) in coverage refinement. Here is an intriguing approach proposed by Google Research. 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
Assembly Automation. Repair or Replace?
It is difficult to imagine an SoC development team not using some form of automation to assemble their SoCs; the sheer complexity of the assembly task for modern designs is already far beyond hand-crafted top-level RTLs. An increasing number of groups have already opted for solutions based on the IP-XACT integration standard.… Read More
Python in Verification. Veriest MeetUp
Veriest held a recent meetup on a topic that has always made me curious – use of Python in verification. The event, moderated by Dusica Glisic (technical marketing manager at Veriest), started with an intro from Moshe Zalcberg (CEO of Veriest) and talks by Avidan Efody (Apple verification) and Tamás Kállay (Team leader, Veriest).… Read More
Synopsys Tutorial on Dependable System Design
Synopsys hosted a tutorial on the last day of DVCon USA 2022 on design/system dependability. Which here they interpret as security, functional safety, and reliability analysis. The tutorial included talks from DARPA, AMD, Arm Research and Synopsys. DARPA and AMD talked about general directions and needs, Arm talked about their… Read More
Symbolic Trojan Detection. Innovation in Verification
We normally test only for correctness of the functionality we expect. How can we find functionality (e.g. Trojans) that we don’t expect? 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 ideas. As always,… Read More
Experimenting for Better Floorplans
There is sometimes an irony in switching to a better solution in design construction or analysis. The new approach is so much better that you want to experiment to further optimize the design. Which then exposes another barrier to enjoying that newfound freedom. SoC design teams often find this when switching from crossbar interconnect… Read More
Siemens EDA on the Best Verification Strategy
Harry Foster opened and wrapped a tutorial at DVCon 2022 on “The Best Verification Strategy You’ve Never Heard Of”. Harry started with a common refrain on verification; we face a crisis thanks to a combination of growing complexity in the systems we are able to design, yet double exponential growth in verification cost for… Read More
Getting to Faster Closure through AI/ML, DVCon Keynote
Manish Pandey, VP R&D and Fellow at Synopsys, gave the keynote this year. His thesis is that given the relentless growth of system complexity, now amplified by multi-chiplet systems, we must move the verification efficiency needle significantly. In this world we need more than incremental advances in performance. We need… Read More