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Volumn , Issue , 2009, Pages 1-5

Clustering billions of data points using GPUs

Author keywords

Accelerator; Clustering; Data parallelism; Data mining; GPGPU; Graphics processor; Many core; Multi core; Parallel algorithm

Indexed keywords

CLUSTERING DATA; GPGPU; GRAPHICS PROCESSOR; MANY-CORE; MULTI CORE;

EID: 72449121016     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1531666.1531668     Document Type: Conference Paper
Times cited : (88)

References (12)
  • 2
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    • Boston
    • A performance Study of General Purpose Application on Graphics Processors. S. Che et al, Workshop on GPGPU, Boston, 2007.
    • (2007) Workshop on GPGPU
    • Che, S.1
  • 3
    • 51449118065 scopus 로고    scopus 로고
    • A performance study of general-purpose application on graphics processors using CUDA
    • A Performance Study of General-Purpose Application on Graphics Processors Using CUDA. S. Che et al, J. Parallel-Distrib. Comput. 2008.
    • (2008) J. Parallel- Distrib. Comput.
    • Che, S.1
  • 4
    • 84873478761 scopus 로고    scopus 로고
    • CUDA Zone. http://www.nvidia.com/object/cuda-home.html.
    • CUDA Zone
  • 5
    • 73449125780 scopus 로고    scopus 로고
    • Parallel data mining on graphics processors
    • Oct
    • Parallel Data Mining on Graphics Processors. W. Fang et al. Technical Report HKUST-CS08-07, Oct 2008.
    • (2008) Technical Report HKUST-CS08-07
    • Fang, W.1
  • 8
    • 70349668883 scopus 로고    scopus 로고
    • version 2.0
    • Nvidia CUDA programming Guide, version 2.0. http://developer.download. nvidia.com/compute/cuda/2-0/docs/NVIDIA-CUDA-Programming-Guide-2.0.pdf 2008.
    • (2008) Nvidia CUDA Programming Guide
  • 10


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.