淡江大學機構典藏:Item 987654321/80754
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    题名: Accelerating Volkov's Hybrid Implementation of Cholesky Factorization on a Fermi GPU
    作者: Wei, Shih-chieh;Huang, Bormin
    贡献者: 淡江大學資訊管理學系
    关键词: parallel computing;Cholesky factorization;general purpose graphics processing unit
    日期: 2012-12
    上传时间: 2013-03-04 16:32:16 (UTC+8)
    出版者: Singapore: Nanyang Tenhnological University
    摘要: In linear algebra, Cholesky factorization is useful in solving a system of equations with a symmetric positive definite coefficient matrix. Cholesky factorization is roughly twice as fast relative to LU factorization which applies to general matrices. In recent years, with advances in technology, a Fermi GPU card can accommodate hundreds of cores compared to the small number of 8 or 16 cores on CPU. Therefore a trend is seen to use the graphics card as a general purpose graphics processing unit (GPGPU) for parallel computation. In this work, Volkov's hybrid implementation of Cholesky factorization is evaluated on the new Fermi GPU with others and then some improvement strategies were proposed. After experiments, compared to the CPU version using Intel Math Kernel Library (MKL), our proposed GPU improvement strategy can achieve a speedup of 3.85x on Cholesky factorization of a square matrix of dimension 10,000.
    關聯: Proceeding of 2012 IEEE 18th International Conference on Parallel and Distributed Systems, pp.896-900
    DOI: 10.1109/ICPADS.2012.147
    显示于类别:[資訊管理學系暨研究所] 專書之單篇

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