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- W2267544373 abstract "Multicore computational accelerators such as Graphics Processor Units (GPUs) became common for gaining high-performance computing on a larger scale. Programming GPUs requires detailed knowledge of the underlying architecture in order to get maximum performance. In this paper we present solution of vector distance calculation on NVIDIA’s parallel computing architecture CUDA (Common Unified Device Architecture), where we optimize the performance of a parallel algorithm and get significant speedup." @default.
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- W2267544373 date "2011-01-01" @default.
- W2267544373 modified "2023-09-27" @default.
- W2267544373 title "Accelerating Vector Calculations on GPU" @default.
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