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Volumn , Issue , 2016, Pages 19-28

Accelerating graph applications on integrated GPU platforms via instrumentation-driven optimizations

Author keywords

Dynamic Instrumentation; GPU; ResourceMan Agement; Scheduling

Indexed keywords

COST EFFECTIVENESS; ENERGY EFFICIENCY; GRAPHIC METHODS; SCHEDULING;

EID: 84978477088     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2903150.2903152     Document Type: Conference Paper
Times cited : (1)

References (39)
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    • 84863735533 scopus 로고    scopus 로고
    • Distributed graphlab: A framework for machine learning and data mining in the cloud
    • Apr
    • Low, Y., Bickson, D., Gonzalez, J., Guestrin, C., Kyrola, A., and Hellerstein, J. M. Distributed graphlab: A framework for machine learning and data mining in the cloud. Proc. VLDB Endow. 5, 8 (Apr. 2012), 716-727.
    • (2012) Proc. VLDB Endow , vol.5 , Issue.8 , pp. 716-727
    • Low, Y.1    Bickson, D.2    Gonzalez, J.3    Guestrin, C.4    Kyrola, A.5    Hellerstein, J.M.6
  • 31
    • 84978529944 scopus 로고    scopus 로고
    • 4.0 ed. NVIDIA Corporation, Santa Clara, CaliforniaMay
    • NVIDIA. NVIDIA Compute Visual Profiler, 4.0 ed. NVIDIA Corporation, Santa Clara, California, May 2011.
    • (2011) NVIDIA. NVIDIA Compute Visual Profiler


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.