Search results for "Graphics processing units"

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LightSpMV: Faster CSR-based sparse matrix-vector multiplication on CUDA-enabled GPUs

2015

Compressed sparse row (CSR) is a frequently used format for sparse matrix storage. However, the state-of-the-art CSR-based sparse matrix-vector multiplication (SpMV) implementations on CUDA-enabled GPUs do not exhibit very high efficiency. This has motivated the development of some alternative storage formats for GPU computing. Unfortunately, these alternatives are incompatible with most CPU-centric programs and require dynamic conversion from CSR at runtime, thus incurring significant computational and storage overheads. We present LightSpMV, a novel CUDA-compatible SpMV algorithm using the standard CSR format, which achieves high speed by benefiting from the fine-grained dynamic distribut…

Instruction setCUDASpeedupComputer scienceSparse matrix-vector multiplicationDouble-precision floating-point formatParallel computingGeneral-purpose computing on graphics processing unitsRowSparse matrix2015 IEEE 26th International Conference on Application-specific Systems, Architectures and Processors (ASAP)
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