Rice Univesrity Logo
    • FAQ
    • Deposit your work
    • Login
    View Item 
    •   Rice Scholarship Home
    • Faculty & Staff Research
    • George R. Brown School of Engineering
    • Computer Science
    • Computer Science Technical Reports
    • View Item
    •   Rice Scholarship Home
    • Faculty & Staff Research
    • George R. Brown School of Engineering
    • Computer Science
    • Computer Science Technical Reports
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A Sample-Driven Call Stack Profiler

    Thumbnail
    Name:
    TR04-437.pdf
    Size:
    156.3Kb
    Format:
    PDF
    View/Open
    Author
    Fowler, Rob; Froyd, Nathan; Mellor-Crummey, John
    Date
    July 15, 2004
    Abstract
    Call graph profiling reports measurements of resource utilization along with information about the calling context in which the resources were consumed. We present the design of a novel profiler that measures resource utilization and its associated calling context using a stack sampling technique. Our scheme has a novel combination of features and mechanisms. First, it requires no compiler support or instrumentation, either of source or binary code. Second, it works on heavily optimized code and on complex, multi-module applications. Third, it uses sampling rather than tracing to build a context tree, collect histogram data, and to characterize calling patterns. Fourth, the data structures and algorithms are efficient enough to construct the complete tree exposed in the sampling process. We describe an implementation for the Alpha/Tru64 platform and present experimental measurements that compare this implementation with the standard call graph profiler provided on Tru64, hi prof. We show results from a variety of programs in several languages indicating that our profiler operates with modest overhead. Our experiments show that the profiling overhead of our technique is nearly a factor of 55 lower than that of hi prof when profiling a call-intensive recursive program.
    Citation
    Fowler, Rob, Froyd, Nathan and Mellor-Crummey, John. "A Sample-Driven Call Stack Profiler." (2004) https://hdl.handle.net/1911/96328.
    Type
    Technical report
    Citable link to this page
    https://hdl.handle.net/1911/96328
    Rights
    You are granted permission for the noncommercial reproduction, distribution, display, and performance of this technical report in any format, but this permission is only for a period of forty-five (45) days from the most recent time that you verified that this technical report is still available from the Computer Science Department of Rice University under terms that include this permission. All other rights are reserved by the author(s).
    Metadata
    Show full item record
    Collections
    • Computer Science Technical Reports [245]

    Home | FAQ | Contact Us | Privacy Notice | Accessibility Statement
    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892
    Site Map

     

    Searching scope

    Browse

    Entire ArchiveCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsTypeThis CollectionBy Issue DateAuthorsTitlesSubjectsType

    My Account

    Login

    Statistics

    View Usage Statistics

    Home | FAQ | Contact Us | Privacy Notice | Accessibility Statement
    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892
    Site Map