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Yufei Ding joined the Department of Computer Science (with a joint appointment in the Department of Electrical & Computer Engineering), University of California at Santa Barbara as an Assistant Professor in Nov 2017. Her research interests lie in the broad fields of domain-specific language design, architecture and compiler optimization, and hardware acceleration. Her current research focuses on building high-performance, energy-efficient, and high-fidelity programming frameworks for emerging technologies such as quantum computing, machine learning, and deep learning. Series: "Institute for Energy Efficiency" [Science] [Show ID: 38474]
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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…
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 molecula…
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]
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…
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