• DocumentCode
    2794137
  • Title

    Architecture comparisons between Nvidia and ATI GPUs: Computation parallelism and data communications

  • Author

    Zhang, Ying ; Peng, Lu ; Li, Bin ; Peir, Jih-Kwon ; Chen, Jianmin

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA
  • fYear
    2011
  • fDate
    6-8 Nov. 2011
  • Firstpage
    205
  • Lastpage
    215
  • Abstract
    In recent years, modern graphics processing units have been widely adopted in high performance computing areas to solve large scale computation problems. The leading GPU manufacturers Nvidia and ATI have introduced series of products to the market. While sharing many similar design concepts, GPUs from these two manufacturers differ in several aspects on processor cores and the memory subsystem. In this paper, we conduct a comprehensive study to characterize the architectural differences between Nvidia´s Fermi and ATI´s Cypress and demonstrate their impact on performance. Our results indicate that these two products have diverse advantages that are reflected in their performance for different sets of applications. In addition, we also compare the energy efficiencies of these two platforms since power/energy consumption is a major concern in the high performance computing.
  • Keywords
    data communication; graphics processing units; memory architecture; parallel processing; power aware computing; ATI GPU; Cypress; Fermi; GPU manufacturers; Nvidia; architectural differences; architecture comparisons; computation parallelism; data communications; design concepts; energy consumption; energy efficiency; high performance computing; memory subsystem; modern graphics processing units; power consumption; processor cores; Benchmark testing; Computational modeling; Computer architecture; Graphics processing unit; High definition video; Kernel; VLIW; GPU; clustering; energy efficiency; performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Workload Characterization (IISWC), 2011 IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4577-2063-5
  • Electronic_ISBN
    978-1-4577-2062-8
  • Type

    conf

  • DOI
    10.1109/IISWC.2011.6114180
  • Filename
    6114180