• Log in
    View Item 
    •   VTechWorks Home
    • College of Engineering (COE)
    • Department of Computer Science
    • Computer Science Technical Reports
    • View Item
    •   VTechWorks Home
    • College of Engineering (COE)
    • Department of Computer Science
    • Computer Science Technical Reports
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    The Performance Effects of Power Scaling on Kernel- based Atomic Batch Transactions

    Thumbnail
    View/Open
    io_slowdown_sigmetrics_v2.7-submit1-final.pdf (1.448Mb)
    Downloads: 575
    TR number
    TR-14-01
    Date
    2014-01-28
    Author
    Redacted
    Metadata
    Show full item record
    Abstract
    The need to balance performance and power is essential to computer system efficiency. Today’s server-class systems commonly support autonomous power scaling of processors, memory, and disks. While processor power scaling self- governance (e.g. Intel’s Turbo Boost) can improve both performance and efficiency, there is growing evidence that at times boosting processor power (and speed) actually harms performance. In this paper, we identify clear cases where processor power scaling can reduce performance by up to 68% on two I/O intensive benchmarks. We describe a methodology for isolating the performance effects of power scaling in server-class systems. We propose a new model to explain the root causes of performance loss in the Linux kernel due to power scaling for two I/O intensive benchmarks. Using the model, we are able to identify global system locks that cause slowdowns at higher processor power (and speed) in the Linux kernel and eliminate the potential performance loss (up to 68%) from power scaling for the benchmarks studied. We provide a detailed case study of the effects of power scaling on one type of Linux kernel-based lock (i.e. atomic batch transactions) and we discuss future performance challenges for power scalable systems.
    URI
    http://hdl.handle.net/10919/25237
    Collections
    • Computer Science Technical Reports [1028]

    If you believe that any material in VTechWorks should be removed, please see our policy and procedure for Requesting that Material be Amended or Removed. All takedown requests will be promptly acknowledged and investigated.

    Virginia Tech | University Libraries | Contact Us
     

     

    VTechWorks

    AboutPoliciesHelp

    Browse

    All of VTechWorksCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Log inRegister

    Statistics

    View Usage Statistics

    If you believe that any material in VTechWorks should be removed, please see our policy and procedure for Requesting that Material be Amended or Removed. All takedown requests will be promptly acknowledged and investigated.

    Virginia Tech | University Libraries | Contact Us