A scalable sparse matrix-vector multiplication kernel for energy-efficient sparse-blas on FPGAs

    FPGA, 2014.

    Cited by: 67|Bibtex|Views18|Links
    EI
    Keywords:
    average computational efficiencycomputing resourcefpga-based spmxv kernelcomputational throughputmismatches traditional computing architectureMore(10+)

    Abstract:

    Sparse Matrix-Vector Multiplication (SpMxV) is a widely used mathematical operation in many high-performance scientific and engineering applications. In recent years, tuned software libraries for multi-core microprocessors (CPUs) and graphics processing units (GPUs) have become the status quo for computing SpMxV. However, the computationa...More

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