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EECS Colloquium: The Motivation for Chiplets and their Adoption in AMD Processors

Engineering Teaching Research Laboratory (ETRL), Pullman, WA
ETRL Room 101
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About the event

Abstract:
For decades, Moore’s Law has delivered the ability to integrate an exponentially increasing number of devices in the same silicon area at a roughly constant cost. This has enabled tremendous levels of integration, where the capabilities of computer systems that previously occupied entire rooms can now fit on a single integrated circuit.
In recent times, the steady drum beat of Moore’s Law has started to slow down. Whereas device density historically doubled every 18-24 months, the rate of recent silicon process advancements has declined. While improvements in device scaling continue, albeit at a reduced pace, the industry is simultaneously observing increases in manufacturing costs.
In response, the industry is now seeing a trend toward reversing direction on the traditional march toward more integration. Instead, multiple industry and academic groups are advocating that systems on chips (SoCs) be “disintegrated” into multiple smaller “chiplets.” This talk provides an overview of the technology challenges that motivated AMD to use chiplets, the technical solutions we developed for our products, and how we expanded the use of chiplets from individual processors to multiple product families.

Bio: Gabriel Loh, AMD Research
Gabe is a Senior Fellow in AMD Research. He received his Ph.D. and M.S. in computer science from Yale University in 2002 and 1999, respectively, and his B.Eng. in electrical engineering from the Cooper Union in 1998. Gabe was also a tenured associate professor in the College of Computing at the Georgia Institute of Technology, a visiting researcher at Microsoft Research, and a senior researcher at Intel Corporation. He is a Fellow of the ACM and IEEE, recipient of ACM SIGARCH’s Maurice Wilkes Award, Hall of Fame member for the MICRO, ISCA, and HPCA conferences, (co-)inventor on over ninety granted US patents, and a recipient of a U.S. National Science Foundation CAREER Award.

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