• DocumentCode
    2806000
  • Title

    In Situ Power Analysis of General Purpose Graphical Processing Units

  • Author

    Shaikh, M.Z. ; Gregoire, M. ; Li, W. ; Wroblewski, M. ; Simon, S.

  • Author_Institution
    Inst. of Parallel & Distrib. Syst., Univ. of Stuttgart Stuttgart, Stuttgart, Germany
  • fYear
    2011
  • fDate
    9-11 Feb. 2011
  • Firstpage
    40
  • Lastpage
    44
  • Abstract
    In this paper, an in situ power analysis profiling over time for general purpose graphics processing units (GPGPU) is presented. Based on this method the power consumption of different modes of operations like data transfer between GPU and host CPU, basic single precision floating point arithmetic operations (addition, subtraction, multiplication) on the multiprocessor units and instructions for shared and global memory access can be measured. There is a factor of 2 difference in power dissipation between various instructions and mode of operations of the GPGPUs. These measurements provide data for an instruction based power estimation of GPU software. It turns out that the power profile over time also gives a good understanding on which section of the program is executed at a certain point in time. The experimental results have been derived from two GPU architectures, namely the GT200 and the GF100 architecture.
  • Keywords
    computer graphic equipment; coprocessors; floating point arithmetic; parallel architectures; power aware computing; shared memory systems; CPU; GF100 architecture; GPGPU; GPU software; GT200 architecture; data transfer; general purpose graphical processing unit; instruction based power estimation; multiprocessor unit; power analysis; power consumption; power dissipation; shared memory access; single precision floating point arithmetic; Computer architecture; Finite difference methods; Graphics processing unit; Kernel; Power dissipation; Power measurement; Time domain analysis; CPU; CUDA; GPGPU; power dissipation; speedup;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel, Distributed and Network-Based Processing (PDP), 2011 19th Euromicro International Conference on
  • Conference_Location
    Ayia Napa
  • ISSN
    1066-6192
  • Print_ISBN
    978-1-4244-9682-2
  • Type

    conf

  • DOI
    10.1109/PDP.2011.67
  • Filename
    5738969