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Volumn , Issue , 2012, Pages

Communication-avoiding parallel Strassen: Implementation and performance

Author keywords

[No Author keywords available]

Indexed keywords

ARITHMETIC COMPLEXITY; EXASCALE; FAST MATRIX MULTIPLICATION; LOWER BOUNDS; MATRIX MULTIPLICATION; PARALLEL IMPLEMENTATIONS; SCIENTIFIC COMPUTING APPLICATIONS;

EID: 84877716093     PISSN: 21674329     EISSN: 21674337     Source Type: Conference Proceeding    
DOI: 10.1109/SC.2012.33     Document Type: Conference Paper
Times cited : (51)

References (20)
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    • (1989) Parallel Computing , vol.12 , Issue.3 , pp. 335-342
    • Berntsen, J.1
  • 13
    • 10844258198 scopus 로고    scopus 로고
    • Communication lower bounds for distributed-memory matrix multiplication
    • DOI 10.1016/j.jpdc.2004.03.021
    • D. Irony, S. Toledo, and A. Tiskin. Communication lower bounds for distributed-memory matrix multiplication. J. Parallel Distrib. Comput., 64(9):1017-1026, 2004. (Pubitemid 40000755)
    • (2004) Journal of Parallel and Distributed Computing , vol.64 , Issue.9 , pp. 1017-1026
    • Irony, D.1    Toledo, S.2    Tiskin, A.3
  • 14
    • 0029192458 scopus 로고
    • A scalable parallel Strassen's matrix multiplication algorithm for distributed-memory computers
    • New York, NY, USA, ACM
    • Q. Luo and J. Drake. A scalable parallel Strassen's matrix multiplication algorithm for distributed-memory computers. In Proceedings of the 1995 ACM Symposium on Applied Computing, SAC '95, pages 221-226, New York, NY, USA, 1995. ACM.
    • (1995) Proceedings of the 1995 ACM Symposium on Applied Computing, SAC '95 , pp. 221-226
    • Luo, Q.1    Drake, J.2
  • 15
    • 0000743020 scopus 로고    scopus 로고
    • Memory-efficient matrix multiplication in the BSP model
    • W. F. McColl and A. Tiskin. Memory-efficient matrix multiplication in the BSP model. Algorithmica, 24:287-297, 1999. 10.1007/PL00008264. (Pubitemid 129715337)
    • (1999) Algorithmica (New York) , vol.24 , Issue.3-4 , pp. 287-297
    • McColl, W.F.1    Tiskin, A.2
  • 17
    • 79952579787 scopus 로고    scopus 로고
    • Exascale computing technology challenges
    • J. M. L. M. Palma, M. J. Daydé, O. Marques, and J. C. Lopes, editors, High Performance Computing for Computational Science - VECPAR 2010 - 9th International conference, Berkeley, CA, USA, June 22-25, 2010, Revised Selected Papers, Springer
    • J. Shalf, S. S. Dosanjh, and J. Morrison. Exascale computing technology challenges. In J. M. L. M. Palma, M. J. Daydé, O. Marques, and J. C. Lopes, editors, High Performance Computing for Computational Science - VECPAR 2010 - 9th International conference, Berkeley, CA, USA, June 22-25, 2010, Revised Selected Papers, volume 6449 of Lecture Notes in Computer Science, pages 1-25. Springer, 2010.
    • (2010) Lecture Notes in Computer Science , vol.6449 , pp. 1-25
    • Shalf, J.1    Dosanjh, S.S.2    Morrison, J.3
  • 20
    • 0031123769 scopus 로고    scopus 로고
    • SUMMA: Scalable universal matrix multiplication algorithm
    • R. A. van de Geijn and J. Watts. SUMMA: scalable universal matrix multiplication algorithm. Concurrency - Practice and Experience, 9(4):255-274, 1997. (Pubitemid 127679707)
    • (1997) Concurrency Practice and Experience , vol.9 , Issue.4 , pp. 255-274
    • Van De, G.R.A.1    Watts, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.