Modeling execution and predicting performance in multi-GPU environments
Graphics processing units (GPUs) have become widely accepted as the computing platform of choice in many high performance computing domains, due to the potential for approaching or exceeding the performance of a large cluster of CPUs with a single GPU for many parallel applications. Obtaining high p...
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| Online Access: | http://hdl.handle.net/2047/d20000059 |