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Volumn , Issue , 2009, Pages

Minimizing communication in sparse matrix solvers

Author keywords

[No Author keywords available]

Indexed keywords

CONVERGENCE RATES; DATA-COMMUNICATION; MATRIX; MATRIX-VECTOR; MATRIX-VECTOR PRODUCTS; MEMORY SYSTEMS; MULTIPLE NODES; NUMERICAL STABILITIES; PARALLEL MACHINE; SHARED MEMORIES; SINGLE PROCESSORS; SPARSE MATRICES; VECTOR OPERATIONS;

EID: 74049146136     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1654059.1654096     Document Type: Conference Paper
Times cited : (107)

References (24)
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    • J. Demmel, L. Grigori, M. Hoemmen, and J. Langou. Communication-optimal parallel and sequential QR and LU factorizations. Technical Report UCB/EECS-2008-89, University of California EECS, May 2008. Submitted to SIAM J. Sci. Comput.
    • J. Demmel, L. Grigori, M. Hoemmen, and J. Langou. Communication-optimal parallel and sequential QR and LU factorizations. Technical Report UCB/EECS-2008-89, University of California EECS, May 2008. Submitted to SIAM J. Sci. Comput.
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    • Demmel, J.1    Hida, Y.2    Hoemmen, M.3    Riedy, E.J.4
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    • Communication-avoiding Krylov subspace methods. Technical report, University of California Berkeley EECS
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    • Demmel, J.1    Hoemmen, M.2
  • 8
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.