A Parallel Implementation of the Gustafson-Kessel Clustering Algorithm with CUDA

この論文にアクセスする

この論文をさがす

著者

    • SEO Jeong Bong
    • the School of Computer Science and Engineering, Chung-Ang University
    • KIM Dae-Won
    • the School of Computer Science and Engineering, Chung-Ang University

抄録

Despite the benefits of the Gustafson-Kessel (GK) clustering algorithm, it becomes computationally inefficient when applied to high-dimensional data. In this letter, a parallel implementation of the GK algorithm on the GPU with CUDA is proposed. Using an optimized matrix multiplication algorithm with fast access to shared memory, the CUDA version achieved a maximum 240-fold speedup over the single-CPU version.

収録刊行物

  • IEICE transactions on information and systems

    IEICE transactions on information and systems 95(4), 1162-1165, 2012-04-01

    一般社団法人 電子情報通信学会

参考文献:  10件中 1-10件 を表示

各種コード

  • NII論文ID(NAID)
    10030942342
  • NII書誌ID(NCID)
    AA10826272
  • 本文言語コード
    ENG
  • 資料種別
    SHO
  • ISSN
    09168532
  • データ提供元
    CJP書誌  J-STAGE 
ページトップへ