Dennis is an expert in scalable vector architectures for high-performance computing (HPC) and machine learning (ML). Previously at Google, he worked on topologies for energy-proportional networking and Cray where he was a Sr. Principal Architect on several Top500 massively-parallel supercomputers. Dennis has published over 20 technical papers in areas of memory systems, interconnection networks, and fault-tolerant systems. He holds over two dozen patents spanning 20+ years of experience at Cray and Google. Dennis holds a Ph.D. in Computer Architecture from the University of Minnesota and is a Senior Member of IEEE and ACM Computer Society.View the profile
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Presented at the 5th Annual Scaled Machine Learning Conference 2020
Venue: Computer History Museum
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