With the promises and challenges of artificial intelligence (AI) and, more specifically, machine learning (ML), this is a time of great architectural innovation as developers compete to provide the best ML solutions. All engineering solutions have trade-offs; the trick here is to find the solution(s) with the fewest bad trade-offs.
In that spirit, we have a Read More → "RAMPing Up Always-On AI"
“I think everybody understands how important the cloud is.” – Marc Benioff
They say every cloud has a silver lining but does every silver lining have a cloud? In this week’s Fish Fry podcast, Craig Johnson (Cadence Design Systems) joins us to discuss a variety of cloud strategies. We investigate how priorities and usage models should influence our choice of cloud models and why different … Read More → "Up Up and Away"
In Part 1 of this series, we looked at the new high-end FPGA families from Achronix, Intel, and Xilinx. We compared the underlying semiconductor processes, the type and amount of programmable logic LUT fabric, the type and amount of DSP/arithmetic resources and their applicability to AI inference acceleration tasks, the claimed TOPS/FLOPS … Read More → "High-End FPGA Showdown – Part 2"
[A previous version of this article contained a metaphor to watching pornography which has been removed, with our apologies.]
For two days in late August, an estimated 1,000 engineers crowded into Stanford Memorial Hall in Palo Alto, Calif. for Hot Chips 2019. #HotChips19, aka #HotChips31, featured some of the most impressive microprocessors seen in Silicon Valley … Read More → "Hot Chips 2019"
“I’m not deaf. I’m ignoring you.” T-shirt wisdom
Devo and The Tubes warned us this would happen: it’s de-evolution, or the completion backwards principle. We’re regressing. It’s not our imagination. Our computers really are getting slower.
Okay, so maybe not the entireRead More → "Why Your Computer is Slower Than a 1970s PC"
At this summer’s DAC conference, Mentor had a couple of artificial intelligence (AI)-related announcements. One of them concerned their own use of AI for physical chip verification, which we have Read More → "Neural Network Notions and Tools"
