• DocumentCode
    1278142
  • Title

    Multi-GPU DGEMM and High Performance Linpack on Highly Energy-Efficient Clusters

  • Author

    Rohr, David ; Bach, Matthias ; Kretz, Matthias ; Lindenstruth, Volker

  • Author_Institution
    Frankfurt Inst. for Adv. Studies, Goethe Univ., Frankfurt, Germany
  • Volume
    31
  • Issue
    5
  • fYear
    2011
  • Firstpage
    18
  • Lastpage
    27
  • Abstract
    High Performance Linpack can maximize requirements throughout a computer system. An efficient multi-GPU double-precision general matrix multiply (DGEMM), together with adjustments to the HPL, is required to utilize a heterogeneous computer to its full extent. The authors present the resulting energy-efficiency measurements and suggest a cluster design that can utilize multiple GPUs.
  • Keywords
    mathematics computing; multiprocessing systems; double-precision general matrix multiply; energy-efficient clusters; high performance Linpack; high-performance computing; multiGPU DGEMM; Computer architecture; Energy efficiency; Graphics processing unit; Green products; Hybrid intelligent systems; Supercomputers; DGEMM; GPGPU; Green IT; HPL; High Performance Linpack; double-precision general matrix multiply; heterogeneous (hybrid) systems; multi-GPU; system architecture;
  • fLanguage
    English
  • Journal_Title
    Micro, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1732
  • Type

    jour

  • DOI
    10.1109/MM.2011.66
  • Filename
    5959146