中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
crsd: application specific auto-tuning of spmv for diagonal sparse matrices

文献类型:会议论文

作者Sun Xiangzheng ; Zhang Yunquan ; Wang Ting ; Long Guoping ; Zhang Xianyi ; Li Yan
出版日期2011
会议名称17th International Conference on Parallel Processing, Euro-Par 2011
会议日期August 29,
会议地点Bordeaux, France
关键词Distributed computer systems Optimization
页码316-327
英文摘要Sparse Matrix-Vector multiplication (SpMV) is an important computational kernel in scientific applications. Its performance highly depends on the nonzero distribution of sparse matrices. In this paper, we propose a new storage format for diagonal sparse matrices, defined as Compressed Row Segment with Diagonal-pattern (CRSD). We design diagonal patterns to represent the diagonal distribution. As the diagonal distributions are similar within matrices from one application, some diagonal patterns remain unchanged. First, we sample one matrix to obtain the unchanged diagonal patterns. Next, the optimal SpMV codelets are generated automatically for those diagonal patterns. Finally, we combine the generated codelets as the optimal SpMV implementation. In addition, the information collected during auto-tuning process is also utilized for parallel implementation to achieve load-balance. Experimental results demonstrate that the speedup reaches up to 2.37 (1.70 on average) in comparison with DIA and 4.60 (2.10 on average) in comparison with CSR under the same number of threads on two mainstream multi-core platforms. © 2011 Springer-Verlag.
会议录Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议录出版地Germany
ISSN号3029743
ISBN号9783642233968
源URL[http://124.16.136.157/handle/311060/14335]  
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
Sun Xiangzheng,Zhang Yunquan,Wang Ting,et al. crsd: application specific auto-tuning of spmv for diagonal sparse matrices[C]. 见:17th International Conference on Parallel Processing, Euro-Par 2011. Bordeaux, France. August 29,.

入库方式: OAI收割

来源:软件研究所

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