Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining

@article{Yang2011FastSM,
  title={Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining},
  author={Xintian Yang and Srinivasan Parthasarathy and P. Sadayappan},
  journal={PVLDB},
  year={2011},
  volume={4},
  pages={231-242}
}
Scaling up the sparse matrix-vector multiplication kernel on modern Graphics Processing Units (GPU) has been at the heart of numerous studies in both academia and industry. In this article we present a novel non-parametric, selftunable, approach to data representation for computing this kernel, particularly targeting sparse matrices representing power-law graphs. Using real web graph data, we show how our representation scheme, coupled with a novel tiling algorithm, can yield significant… CONTINUE READING
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