• DocumentCode
    62938
  • Title

    The Q100 Database Processing Unit

  • Author

    Wu, Lisa ; Lottarini, Andrea ; Paine, Timothy K. ; Kim, Martha A. ; Ross, Kenneth A.

  • Volume
    35
  • Issue
    3
  • fYear
    2015
  • fDate
    May-June 2015
  • Firstpage
    34
  • Lastpage
    46
  • Abstract
    The Q100 uses hardware specialization to improve the energy efficiency of analytic database applications. The proposed accelerators are called database processing units. DPUs are analogous to GPUs, but where GPUs target graphics applications, DPUs target analytic database workloads. This article demonstrates a proof of concept design, called the Q100, which provides one to two orders of magnitude improvement in efficiency over single- and multithreaded software database management systems. The Q100 exploits the innate structure of the workload, viewing the data in terms of tables and columns rather than as an unstructured array of bytes, to more efficiently move and manipulate database content. Because a large proportion of a chip´s energy is spent delivering data to the computation engines, this approach both improves overall energy efficiency and complements other specialized computation engines.
  • Keywords
    database management systems; multi-threading; power aware computing; DPU; GPU; Q100 database processing unit; accelerators; analytic database applications; analytic database workloads; chip energy; computation engines; database content; energy efficiency; graphics applications; hardware specialization; magnitude improvement; multithreaded software database management systems; proof of concept design; single-threaded software database management systems; workload structure; Accelerators; Data processing; Microarchitecture; Pipeline processing; Software engineering; Streaming media; DPU; accelerator; database; database processing unit; microarchitecture; specialized functional unit; streaming data;
  • fLanguage
    English
  • Journal_Title
    Micro, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1732
  • Type

    jour

  • DOI
    10.1109/MM.2015.51
  • Filename
    7106397