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Volumn , Issue , 2011, Pages 119-122

Bridging the GPGPU-FPGA efficiency gap

Author keywords

Bayesian networks; FPGA; GPGPU; OpenCL; Reconfigurable computing

Indexed keywords

ARCHITECTURAL MODELS; BAYESIAN INFERENCE; CORE CLOCK; EXECUTION MODEL; FPGA; FPGA CORE; FPGA IMPLEMENTATIONS; GPGPU; HIGH LEVEL ARCHITECTURE; OPENCL; PROGRAMMABLE DEVICES; PROGRAMMING MODELS; RECONFIGURABLE COMPUTING; TEMPLATE-BASED;

EID: 79952909372     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1950413.1950439     Document Type: Conference Paper
Times cited : (8)

References (14)
  • 2
    • 79952922303 scopus 로고    scopus 로고
    • Nvidia OpenCL Best Practices Guide
    • Nvidia OpenCL Best Practices Guide.
  • 4
    • 36348929435 scopus 로고    scopus 로고
    • Ordering-based search: A simple and effective algorithm for learning bayesian networks
    • Edinburgh, Scotland, UK, July
    • M. Teyssier and D. Koller. Ordering-based search: A simple and effective algorithm for learning bayesian networks. Proc. of the Twenty-first Conference on Uncertainty in AI (UAI), pages 584-590, Edinburgh, Scotland, UK, July 2005.
    • (2005) Proc. of the Twenty-first Conference on Uncertainty in AI (UAI) , pp. 584-590
    • Teyssier, M.1    Koller, D.2
  • 5
    • 49549100459 scopus 로고    scopus 로고
    • Learning causal bayesian network structures from experimental data
    • B. Ellis and W. H. Wong. Learning causal bayesian network structures from experimental data. Journal of the American Statistical Association, 103(482), 2008.
    • Journal of the American Statistical Association , vol.103 , Issue.482 , pp. 2008
    • Ellis, B.1    Wong, W.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.