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Volumn , Issue , 2014, Pages

MapGraph: A high level API for fast development of high performance graph analytics on GPUs

Author keywords

GPU; Graph analytics; High level API

Indexed keywords

ABSTRACTING; INFORMATION MANAGEMENT; SCHEDULING;

EID: 84905644956     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2621934.2621936     Document Type: Conference Paper
Times cited : (119)

References (15)
  • 3
    • 70350368872 scopus 로고    scopus 로고
    • Efficient sparse matrix-vector multiplication on CUDA
    • NVIDIA Corporation, Dec
    • N. Bell and M. Garland. Efficient sparse matrix-vector multiplication on CUDA. NVIDIA Technical Report NVR-2008-004, NVIDIA Corporation, Dec. 2008.
    • (2008) NVIDIA Technical Report NVR-2008-004
    • Bell, N.1    Garland, M.2
  • 13
    • 78650915201 scopus 로고    scopus 로고
    • Some gpu algorithms for graph connected components and spanning tree
    • J. Soman, K. Kothapalli, and P. J. Narayanan. Some gpu algorithms for graph connected components and spanning tree. Parallel Processing Letters, 20(04):325-339, 2010.
    • (2010) Parallel Processing Letters , vol.20 , Issue.4 , pp. 325-339
    • Soman, J.1    Kothapalli, K.2    Narayanan, P.J.3
  • 14
    • 85084012076 scopus 로고    scopus 로고
    • Asynchronous large-scale graph processing made easy
    • G. Wang, W. Xie, A. J. Demers, and J. Gehrke. Asynchronous large-scale graph processing made easy. In CIDR, 2013.
    • (2013) CIDR
    • Wang, G.1    Xie, W.2    Demers, A.J.3    Gehrke, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.