ABSTRACT:
Graphics Processing Units (GPUs) can deliver astounding floating point performance, but current implementations are rather tricky to tune.
In this talk, we will present a series of performance experiments that demonstrate how to achieve high performance for general-purpose programs on the GPU.
BIO:
Dr. Lawlor is an Assistant Professor of Computer Science at the University of Alaska at Fairbanks, where he builds robots, writes software, and runs a 10-node cluster of NVIDIA GTX 280s. Dr. Lawlor was not convinced GPU programming was worth learning about until 2005.
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