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Volumn , Issue , 2010, Pages

Dense linear algebra solvers for multicore with GPU accelerators

Author keywords

Dense linear algebra solvers; GPU accelerators; Hybrid algorithms; MAGMA; Multicore

Indexed keywords

CHOLESKY; COMPLEX SYSTEMS; COMPUTING POWER; DENSE LINEAR ALGEBRA; FUNDAMENTAL PROBLEM; HARDWARE CONFIGURATIONS; HYBRID ALGORITHMS; HYBRID ARCHITECTURES; ITERATIVE REFINEMENT; LINEAR SYSTEMS OF EQUATIONS; MULTI CORE; MULTICORE ARCHITECTURES; NUMERICAL SIMULATION; ORDERS OF MAGNITUDE; PARALLEL PROGRAMMING MODEL; QR FACTORIZATIONS; SCIENTIFIC COMPUTING; SOFTWARE INFRASTRUCTURE;

EID: 77954080759     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPDPSW.2010.5470941     Document Type: Conference Paper
Times cited : (210)

References (14)
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    • NVIDIA CUDA ZONE
  • 4
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    • A class of parallel tiled linear algebra algorithms for multicore architectures
    • A. Buttari, J. Langou, J. Kurzak, and J. Dongarra. A class of parallel tiled linear algebra algorithms for multicore architectures. Parallel Computing, 35(1):38-53, 2009.
    • (2009) Parallel Computing , vol.35 , Issue.1 , pp. 38-53
    • Buttari, A.1    Langou, J.2    Kurzak, J.3    Dongarra, J.4
  • 7
    • 68849128792 scopus 로고    scopus 로고
    • A note on auto-tuning GEMM for GPUs
    • Berlin, Heidelberg, Springer-Verlag
    • Y. Li, J. Dongarra, and S. Tomov. A Note on Auto-tuning GEMM for GPUs. In ICCS '09, pages 884-892, Berlin, Heidelberg, 2009. Springer-Verlag.
    • (2009) ICCS '09 , pp. 884-892
    • Li, Y.1    Dongarra, J.2    Tomov, S.3
  • 8
    • 77954052670 scopus 로고    scopus 로고
    • Some issues in dense linear algebra for multicore and special purpose architectures.
    • May
    • M. Baboulin, J. Dongarra, and S. Tomov. Some issues in dense linear algebra for multicore and special purpose architectures. Lapack working note 200, May 2008.
    • (2008) Lapack Working Note , vol.200
    • Baboulin, M.1    Dongarra, J.2    Tomov, S.3
  • 12
    • 67650686517 scopus 로고    scopus 로고
    • Accelerating Linpack with CUDA on heterogenous clusters
    • New York, NY, USA, ACM
    • M. Fatica. Accelerating Linpack with CUDA on heterogenous clusters. In GPGPU-2, pages 46-51, New York, NY, USA, 2009. ACM.
    • (2009) GPGPU-2 , pp. 46-51
    • Fatica, M.1
  • 14
    • 74049090446 scopus 로고    scopus 로고
    • Comparative study of one-sided factorizations with multiple software packages on multi-core hardware
    • E. Agullo, B. Hadri, H. Ltaief, and J. Dongarra. Comparative study of one-sided factorizations with multiple software packages on multi-core hardware. In SC '09, 2009.
    • (2009) SC '09
    • Agullo, E.1    Hadri, B.2    Ltaief, H.3    Dongarra, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.