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Biography
Sam Williams is a staff scientist in the Performance and Algorithms Research Group at the Lawrence Berkeley National Laboratory (LBNL). His research interests include high-performance computing, auto-tuning, performance modeling, computer architecture, and hardware/software co-design. Dr. Williams received his Ph.D. in Computer Science from the University of California at Berkeley (UCB) in December of 2008. During this period, his doctoral research focused on multicore architectures and automated performance tuning. Previously, within the IRAM project, he implemented the RTL for the integer and floating-point datapaths, verified the simulators and all RTL, floorplanned the entire VIRAM1 chip, and performed all necessary place-and-route (PnR) work.
Presentations
Workshop
Benchmarks
Parallel Programming Languages, Libraries, and Models
Performance
Simulation
W
Tutorial
Heterogeneous Systems
Performance
Tools
TUT
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