Title: Research Trends in Cloud Platform Hardware
Abstract: There is a lot of activity trying to identify what the future cloud platform hardware will look like. A good way to think about it is to focus on the trends that we are seeing. Specifically, applications require more and more memory, which is stressing out address translation in processors. There is also the trend toward over-subscribed serverless environments, which induce new hardware and software overheads. Further, different distributed applications require different data consistency support. In this talk, I will outline some of the ideas we are developing in this area.
Bio: Josep Torrellas is the Saburo Muroga Professor of Computer Science at the University of Illinois Urbana-Champaign (UIUC). He is the Director of the SRC/DARPA JUMP 2.0 ACE Center on Systems and Architectures for Distributed Compute, and past Director of the Illinois-Intel Parallelism Center. His research interests are computer architectures for parallel and distributed computing. Some of his contributions include thread-level speculation (TLS) techniques, the Bulk Multiprocessor concept, deterministic record and replay designs, process variation mitigation techniques, and hardware defenses against speculative execution attacks. In addition, he has contributed to several experimental multiprocessor designs such as IBM’s PERCS Multiprocessor, Intel’ Runnemede Extreme-Scale Multiprocessor, Illinois Cedar, and Stanford DASH. Torrellas has mentored generations of computer architects. Of his 48 Ph.D. graduates, over a dozen are faculty at top US academic institutions. Torrellas received the IEEE CS Harry H. Goode Memorial Award, the UIUC Campus Award for Excellence in Graduate Student Mentoring, and the IEEE CS Technical Achievement Award. He received a Ph.D. from Stanford University.
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