Architecting Efficient Communication to Enable Data-Intensive Computing

Wednesday, March 21, 2018
10:30 AM to 11:30 AM
EER 3.646
Free and open to the public

Despite the end of Moore’s Law on the horizon, there is no end in sight to the rapid growth in the volume of data and applications to make use of it. To use that data, it must be stored, accessed, and moved, and this communication is often more demanding than the computation on that data. Worse yet, inefficient communication can leave a system woefully underutilized, which increases costs to the point of limiting the amount of data that can be practically processed.

This talk will describe techniques to improve communication efficiency, which in turn can improve performance, save energy, or even reduce manufacturing costs.

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Scott Beamer

Lawrence Berkeley National Lab

Scott Beamer is a computer architecture postdoctoral fellow at Lawrence Berkeley National Lab (LBNL). He designs architectures, systems, and algorithms to improve communication efficiency, which in turn saves energy and reduces cost for data-intensive applications. More generally, his interests are in computer architecture, systems, and memory interconnects. He received the Kaivalya Dixit Distinguished Dissertation Award from SPEC as well best paper awards from the International Parallel & Distributed Processing Symposium (IPDPS) and the International Symposium on Workload Characterization (IISWC).