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Volumn 1, Issue , 2011, Pages 26-31

A scheduling algorithm for GPU-attached multicore hybrid systems

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX TASK; H SYSTEMS; MULTI CORE; PERFORMING WORK;

EID: 83755164024     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (11)
  • 3
    • 83755162894 scopus 로고    scopus 로고
    • Master Dissertation, Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan
    • Y. C. Huang, "A Two-Stage Task Scheduling Scheme on CUDA Systems," Master Dissertation, Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan, 2010.
    • (2010) A Two-Stage Task Scheduling Scheme on CUDA Systems
    • Huang, Y.C.1
  • 5
    • 77952309808 scopus 로고    scopus 로고
    • Fast evaluation of GP Trees on GPGPU by optimizing hardware scheduling
    • O. Maitre, N. Lachiche and P. Collet, "Fast Evaluation of GP Trees on GPGPU by Optimizing Hardware Scheduling," Lecture Notes in Computer Science, 6021, pp. 301-312, 2010.
    • (2010) Lecture Notes in Computer Science , vol.6021 , pp. 301-312
    • Maitre, O.1    Lachiche, N.2    Collet, P.3
  • 6
    • 43349092363 scopus 로고    scopus 로고
    • CUDA compatible GPU cards as efficient hardware accelerators for smith-waterman sequence alignment
    • S. A. Manavski and G. Valle, "CUDA Compatible GPU Cards as Efficient Hardware Accelerators for Smith-Waterman Sequence Alignment," BMC Bioinformatics, 2008.
    • (2008) BMC Bioinformatics
    • Manavski, S.A.1    Valle, G.2
  • 7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.