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Volumn , Issue , 2011, Pages 25-32

Auto-tuning SkePU: A multi-backend skeleton programming framework for multi-GPU systems

Author keywords

Auto tuning; CUDA; Data parallelism; Gpu; OpenCL; Skeleton programming

Indexed keywords

AUTOTUNING; CUDA; DATA PARALLELISM; GPU; OPENCL; SKELETON PROGRAMMING;

EID: 79959546345     PISSN: 02705257     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1984693.1984697     Document Type: Conference Paper
Times cited : (34)

References (14)
  • 4
    • 1842852979 scopus 로고    scopus 로고
    • Bringing skeletons out of the closet: A pragmatic manifesto for skeletal parallel programming
    • M. Cole. Bringing skeletons out of the closet: a pragmatic manifesto for skeletal parallel programming. Parallel Computing, 30(3):389-406, 2004.
    • (2004) Parallel Computing , vol.30 , Issue.3 , pp. 389-406
    • Cole, M.1
  • 9
    • 84969968566 scopus 로고    scopus 로고
    • A framework for performance-aware composition of explicitly parallel components
    • Jülich/Aachen, Germany, Sept.
    • Christoph Kessler and Welf Löwe. A Framework for Performance-Aware Composition of Explicitly Parallel Components. Proc. ParCo-2007 conference, Jülich/Aachen, Germany, Sept. 2007.
    • (2007) Proc. ParCo-2007 Conference
    • Kessler, C.1    Löwe, W.2
  • 14
    • 33947389595 scopus 로고    scopus 로고
    • An adaptive algorithm selection framework for reduction parallelization
    • H. Yu and L. Rauchwerger, An Adaptive Algorithm Selection Framework for Reduction Parallelization. IEEE Trans. Parallel and Distr. Syst. 17(10):1084-1096, 2006.
    • (2006) IEEE Trans. Parallel and Distr. Syst. , vol.17 , Issue.10 , pp. 1084-1096
    • Yu, H.1    Rauchwerger, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.