Thread communication and synchronization on massively parallel GPUs
T. Ta; D. Troendle; B. Jang University of Mississippi, Oxford, MS, United States
Abstract
Thread communication and synchronization play an important role in parallel computing. On graphics processing units (GPUs) where thousands of threads run simultaneously, the performance of the processor largely depends on the efficiency of thread communication and synchronization. Understanding which mechanisms are supported on modern GPUs and their implication for algorithm design is also very important in order for GPU programmers to write efficient code. Since most conventional general-purpose computing on GPU workloads are massively parallel with little cooperation ...
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