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Volumn , Issue , 2010, Pages 80-88

Exact sparse matrix-vector multiplication on GPU's and multicore architectures

Author keywords

Block Wiedemann; Finite field; Parallelism; Rank; Sparse matrix vector multiplication

Indexed keywords

GRAPHICS PROCESSING UNIT; MATRIX ALGEBRA; SMART CARDS; SOFTWARE ARCHITECTURE;

EID: 77956238872     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1837210.1837224     Document Type: Conference Paper
Times cited : (18)

References (21)
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    • J.-G. Dumas, P. Giorgi, P. Elbaz-Vincent, and A. Urbanska. Parallel computation of the rank of large sparse matrices from algebraic k-tlieory. In S. Watt, editor, PASCO 2007, pages 43-52. Waterloo University, Ontario, Canada, July 2007.
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    • Dense linear algebra over word-size prime fields: The FFLAS and FFPACK packages
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    • Kaltofen, E.1
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    • Factoring high-degree polynomials by the black box berlekamp algorithm
    • ACM, editor July 20-22, 1994, Oxford, England, United Kingdom pub-ACM:adr ACM Press
    • E. Kaltofen and A. Lobo. Factoring high-degree polynomials by the black box Berlekamp algorithm. In ACM, editor, ISSAC '94: Proceedings of the 1994 International Symposium on Symbolic and Algebraic Computation: July 20-22, 1994, Oxford, England, United Kingdom, pages 90-98, pub-ACM:adr, 1994. ACM Press.
    • (1994) ISSAC '94: Proceedings of the 1994 International Symposium on Symbolic and Algebraic Computation , pp. 90-98
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  • 18
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    • R. W. Vuduc and H.-J. Moon. Fast sparse matrix-vector multiplication by exploiting variable block structure. In L. T. Yang, O. F. Rana, B. D. Martino, and J. Dongarra, editors, HPCC, volume 3726 of Lecture Notes in Computer Science, pages 807-816, pub-SV:adr, 2005. Springer-Verlag Inc.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.