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Volumn , Issue , 2011, Pages 395-402

Performance portability of a GPU enabled factorization with the DAGuE framework

Author keywords

cluster; DAG scheduling; GPU; linear algebra

Indexed keywords

CHOLESKY FACTORIZATIONS; CLUSTER; DAG SCHEDULING; DENSE LINEAR ALGEBRA; GPU; HIGH PERFORMANCE COMPUTERS; MANY CORE; NON-UNIFORM ACCESS; PERFORMANCE PORTABILITY; RUNTIME SYSTEMS; RUNTIMES; TEST CASE;

EID: 80955167923     PISSN: 15525244     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CLUSTER.2011.51     Document Type: Conference Paper
Times cited : (24)

References (18)
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    • (2006) LNCS , vol.4699 , pp. 1-10
    • Buttari, A.1    Dongarra, J.2    Kurzak, J.3    Langou, J.4    Luszczek, P.5    Tomov, S.6
  • 9
    • 77954042160 scopus 로고    scopus 로고
    • A scalable high performant cholesky factorization for multicore with GPU accelerators
    • Tech. Rep. 223, Nov.
    • H. Ltaief, S. Tomov, R. Nath, P. Du,, and J. Dongarra, "A scalable high performant cholesky factorization for multicore with GPU accelerators." LAPACK Working Note, Tech. Rep. 223, Nov. 2009.
    • (2009) LAPACK Working Note
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    • T. J. Desell, A. Waters, M. Magdon-Ismail, B. K. Szymanski, C. A. Varela, M. Newby, H. J. Newberg, A. Przystawik, and D. P. Anderson, "Accelerating the milkyway@home volunteer computing project with gpus," in Parallel Processing and Applied Mathematics, 8th Int. Conference, PPAM 2009, Wroclaw, Poland, September 13-16, ser. Lecture Notes in Computer Science, vol. 6067, 2009, pp. 276-288.
    • (2009) Lecture Notes in Computer Science , vol.6067 , pp. 276-288
    • Desell, T.J.1    Waters, A.2    Magdon-Ismail, M.3    Szymanski, B.K.4    Varela, C.A.5    Newby, M.6    Newberg, H.J.7    Przystawik, A.8    Anderson, D.P.9


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.