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- W1570663755 abstract "Modern graphics hardware is well suited to highly parallel numerical tasks and provides significant cost and performance benefits. Graphics hardware vendors are now making available development tools to support high performance computing. NVIDIA’S CUDAplatform, in particular, offers direct access to graphics hardware through a programming language similar to C. Using the CUDA platform we have implemented a DiracWilson operator which runs at an effective 68 Gigaflops on the Tesla C870 GPU. The recently released GTX 280 GPU runs this same code at 92 Gigaflops and we expect improvement pending code optimization." @default.
- W1570663755 created "2016-06-24" @default.
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- W1570663755 date "2009-06-30" @default.
- W1570663755 modified "2023-09-24" @default.
- W1570663755 title "Blasting Through Lattice Calculations using CUDA" @default.
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- W1570663755 doi "https://doi.org/10.22323/1.066.0045" @default.
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