BiELL: A bisection ELLPACK-based storage format for optimizing SpMV on GPUs

Author:

Zheng Cong,Gu Shuo,Gu Tong-Xiang,Yang Bing,Liu Xing-Ping

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference19 articles.

1. Optimizing Sparse Matrix–Vector Multiplication on GPUs, Tech. Rep. Research Report RC24704;Baskaran,2009

2. Efficient Sparse Matrix–Vector Multiplication on CUDA, NVIDIA Technical Report NVR-2008-004;Bell,2008

3. R. Boisvert, R. Pozo, K. Remington, B. Miller, R. Lipman, The matrix market, 2000. http://math.nist.gov/MatrixMarket/.

4. Fast conjugate gradients with multiple GPUs;Cevahir,2009

5. J.W. Choi, A. Singh, R.W. Vuduc, Model-driven autotuning of sparse matrix–vector multiply on GPUs, in: Proc. PPoPP10, India, 2010.

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