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Cliff Young is a software engineer in Google Research, where he works on codesign for deep learning accelerators. He is one of the designers of Google’s Tensor Processing Unit (TPU) and one of the founders of the MLPerf benchmark. Previously, Cliff built special- purpose supercomputers for molecular dynamics at D. E. Shaw Research and was a Member of Technical Staff at Bell Labs. Cliff holds AB, MS, and PhD degrees in computer science from Harvard University. Cliff is a member of ACM and IEEE. Series: "Institute for Energy Efficiency" [Science] [Show ID: 38473]
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ALTRI EPISODI IN QUESTO PODCAST
UC Santa Barbara's Clint Schow discusses how to bring low-power O-band coherent optics to data centers. Schow received B.S., M.S. and Ph.D. degrees from the University of Texas at Austin. After positions at IBM and Agility Communications, Dr. Schow spent more than a decade at the IBM T.J. Watson Re…
Bharath Muthiah is a Technical Lead in Meta’s Infrastructure team and leads technical sourcing for large scale AI HW cluster technologies and solutions. In this capacity, Bharath engages extensively with Meta’s strategic technology partners, industry consortiums, hyperscale peers, and academic part…
Ravi Agarwal is a technical sourcing manager at the Facebook Infrastructure group. In this role, he is responsible for driving advanced packaging architectures and foundry for both networking and AI/ML compute applications to meet Facebook future workloads. He is driving Chiplet Business Workstream…
High Volume Silicon Photonics for Co-Packaged Optics and Optical I/O with Thomas Liljeberg of Intel. Series: "Institute for Energy Efficiency" [Science] [Show ID: 38466]
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