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Volumn , Issue , 2012, Pages 1769-1777

GPU implementation of the branch and bound method for knapsack problems

Author keywords

branch and bound method; combinatorial optimization; CUDA; GPU computing; hybrid computing; knapsack problems

Indexed keywords

BRANCH AND BOUNDS; COMPUTATIONAL RESULTS; CUDA; EFFICIENT IMPLEMENTATION; GPU COMPUTING; GPU IMPLEMENTATION; HYBRID COMPUTING; KNAPSACK PROBLEMS;

EID: 84867427229     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPDPSW.2012.219     Document Type: Conference Paper
Times cited : (44)

References (21)
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  • 2
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    • Yorktown Heights (NY)
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  • 5
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    • (2005) Journal of Parallel and Distributed Computing , vol.65 , pp. 74-84
    • El Baz, D.1    Elkihel, M.2
  • 6
    • 0031100341 scopus 로고    scopus 로고
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  • 7
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  • 9
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  • 17
    • 0028550919 scopus 로고
    • Parallel branch-and-bound algorithms: Survey and synthesis
    • B. Gendron and C. T. G., "Parallel branch-and-bound algorithms: Survey and synthesis," Operation Research, vol. 42, pp. 1042-1066, 1994.
    • (1994) Operation Research , vol.42 , pp. 1042-1066
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  • 18
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    • Discrete variable extremum problems
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  • 19
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    • NVIDIA, "Cuda 3.2 programming guide," http://developer. download.nvidia.com/compute/cuda/3-2/toolkit/docs/CUDA-C-Programming-Guide.pdf, 2011.
    • (2011) Cuda 3.2 Programming Guide


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.