中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An improved implementation of Preconditioned Conjugate Gradient method on GPU

文献类型:期刊论文

作者Yechen Gui;Guijuan Zhang
刊名Journal of software
出版日期2012
英文摘要An improved implementation of the Preconditioned Conjugate Gradient method on GPU using CUDA (Compute Unified Device Architecture) is proposed. It aims to solving the Poisson equation arising in liquid animation with high efficiency. We consider the features of the linear system obtained from the Poisson equation and propose an optimization method to solve it. First, a novel storage format called mDIA (modified diagonal storage format) is presented to improve the efficiency of the Sparse Matrix-Vector product (SpMV) operation. Second, a parallel Jacobi iterative method is proposed when using the Incomplete Cholesky preconditioner to explore inherent parallelism. Third, CUDA streams are also introduced to overlap computations among separate streams. The proposed optimization technique is embedded into our GPU based PCG algorithm. Results on Geforce G100 show that our SpMV kernel yields an improvement of nearly 100% for large sparse matrix with more than 30, 0000 rows. Also, a speedup of more than 7 is obtained for PCG method, making the real-time physics engine possible. © 2012 ACADEMY PUBLISHER.(15 refs)
收录类别EI
原文出处http://www.ojs.academypublisher.com/index.php/jsw/article/view/jsw071226952702
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/4141]  
专题深圳先进技术研究院_数字所
作者单位Journal of software
推荐引用方式
GB/T 7714
Yechen Gui;Guijuan Zhang. An improved implementation of Preconditioned Conjugate Gradient method on GPU[J]. Journal of software,2012.
APA Yechen Gui;Guijuan Zhang.(2012).An improved implementation of Preconditioned Conjugate Gradient method on GPU.Journal of software.
MLA Yechen Gui;Guijuan Zhang."An improved implementation of Preconditioned Conjugate Gradient method on GPU".Journal of software (2012).

入库方式: OAI收割

来源:深圳先进技术研究院

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