中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
performance evaluation of multithreaded sparse matrix-vector multiplication using openmp

文献类型:会议论文

作者Liu Shengfei ; Zhang Yunquan ; Sun Xiangzheng ; Qiu RongRong
出版日期2009
会议名称11th IEEE International Conference on High Performance Computing and Communications
会议日期JUN 25-27,
会议地点Seoul, SOUTH KOREA
关键词Dawning S4800A1 OpenMP compute-to-memory ratio irregular memory access patterns iterative methods multithreaded sparse matrix-vector multiplication nonzero scheduling performance evaluation application program interfaces matrix multiplication multi-threading scheduling shared memory systems software performance evaluation sparse matrices vectors
英文摘要Sparse matrix-vector multiplication is an important computational kernel in scientific applications. However, it performs poorly on modern processors because of a low compute-to-memory ratio and its irregular memory access patterns. This paper discusses the implementations of sparse matrix-vector algorithm using OpenMP to execute iterative methods on the Dawning S4800A1. Two storage formats (CSR and BCSR) for sparse matrices and three scheduling schemes (static, dynamic and guided) provided by the standard OpenMP are evaluated We also compared these three schemes with non-zero scheduling, where each thread is assigned approximately the same number of non-zero elements. Experimental data shows that, the non-zero scheduling can provide the best performance in most cases. The current implementation provides satisfactory scalability for most of matrices. However, we only get a limited speedup for some large matrices that contain millions of non-zero elements.
会议主办者IEEE Comp Soc, IEEE
会议录2009 11th IEEE International Conference on High Performance Computing and Communications, HPCC 2009
会议录出版者HPCC: 2009 11TH IEEE INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS
会议录出版地345 E 47TH ST, NEW YORK, NY 10017 USA
ISBN号978-1-4244-4600-1
源URL[http://124.16.136.157/handle/311060/8288]  
专题软件研究所_并行计算实验室 _会议论文
推荐引用方式
GB/T 7714
Liu Shengfei,Zhang Yunquan,Sun Xiangzheng,et al. performance evaluation of multithreaded sparse matrix-vector multiplication using openmp[C]. 见:11th IEEE International Conference on High Performance Computing and Communications. Seoul, SOUTH KOREA. JUN 25-27,.

入库方式: OAI收割

来源:软件研究所

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