• DocumentCode
    1916834
  • Title

    Satisfying Data-Intensive Queries Using GPU Clusters

  • Author

    Young, James ; Haicheng Wu ; Yalamanchili, Sudhakar

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2012
  • fDate
    10-16 Nov. 2012
  • Firstpage
    1314
  • Lastpage
    1314
  • Abstract
    Data-intensive queries should be run on GPU clusters to increase throughput, and Global Address Spaces (GAS) should be used to support compiler optimizations that can increase total throughput by fully utilizing memory and GPUs across nodes in the cluster.
  • Keywords
    graphics processing units; program compilers; query processing; GAS; GPU cluster; compiler optimization; data-intensive query; global address space; graphics processing unit; GPU clusters; compiler optimizations; data warehousing; global address spaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion:
  • Conference_Location
    Salt Lake City, UT
  • Print_ISBN
    978-1-4673-6218-4
  • Type

    conf

  • DOI
    10.1109/SC.Companion.2012.163
  • Filename
    6495945
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1916834