The video and slides of the CEDA lunch from a month or two ago are now (finally) up here. Chris Malachowsky presented “Watt’s next.” Chris is one of the founders of nVidia and is currently its senior VP of research. He started by talking a bit about the nVidia product line but moved on to talking about supercomputers and their power requirements. Of course nVidia builds graphics chips that go in PCs and phones, but the basic parallel compute engine in those chips can be harnessed for other tasks. Given the title of the talk you won’t be surprised to know he spent most of the presentation on the challenges of power. Unless you’ve been under a rock for the last decade you have to know that power is one of the biggest challenges in chip design today. Computer architecture is one area that can make a big contribution along with all the techniques that have been developed at the SoC level. The microarchitecture can make an enormous difference. But moving data around is really a big problem: which uses more power, a 64-bit floating point multiply and add, or moving one of the operands 20mm across the die. Moving the data is already 5 times as costly, and by 10nm it will be 17x as costly (not to mention hundreds of times as costly to move it off chip). Science needs a 1000x increase in computing power but without requiring a power station to provide the power and remove the heat. The entire talkwas recorded on video and is synchronized with the slides.
He ended up talking about the department of energy program to build a 1000 petaflop computer (1 exaflop) and consuming “only” 20MW. By comparison we are currently at 2 petaflops consuming 6MW, so a 500X increase in speed for only a tripling of power. Click on the thumbnail to get a graphic that is large enough you can read the details.
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China has spent billions of dollars building far too many data centers for AI and compute - could it lead to a huge market crash?
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In this context of logic applications, the number of masks for blocks and vias explodes far faster with more complex…— nghanayem on March 20, 2025
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Podcast EP284: Current Capabilities and Future Focus at Intel Foundry Services with Kevin O’Buckley
Podcast EP283: The evolution of Analog High Frequency Design and the Impact of AI with Matthew Ozalas of Keysight
Podcast EP282: An Overview of Andes Focus on RISC-V and the Upcoming RISC-V CON
Podcast EP281: A Master Class in the Evolving Ethernet Standard with Jon Ames of Synopsys
Podcast EP280: A Broad View of the Impact and Implications of Industrial Policy with Economist Ian Fletcher
Podcast EP279: Guy Gozlan on how proteanTecs is Revolutionizing Real-Time ML Testing
Podcast EP278: Details of This Year’s Semiconductor Startups Contest with Silicon Catalyst’s Nick Kepler
Video EP2: A Detailed Look at the Most Effective Way to Conquer Clock Jitter with Samia Rashid
Podcast EP277: How Arteris FlexGen Smart NoC IP Democratizes Advanced Chip Design with Rick Bye
Podcast EP276: How Alphawave Semi is Fueling the Next Generation of AI Systems with Letizia Giuliano
Achieving Seamless 1.6 Tbps Interoperability for High BW HPC AI/ML SoCs: A Technical Webinar with Samtec and Synopsys