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.

    Interprocedural Symbolic Analysis

    Thumbnail
    Name:
    TR94-228.pdf
    Size:
    7.668Mb
    Format:
    PDF
    View/Open
    Author
    Havlak, Paul
    Date
    May 1994
    Abstract
    Compiling for efficient execution on advanced computer architectures requires extensive program analysis and transformation. Most compilers limit their analysis to simple phenomena within single procedures, limiting effective optimization of modular codes and making the programmer’s job harder. We present methods for analyzing array side effects and for comparing nonconstant values computed in the same and different procedures. Regular sections, described by rectangular bounds and stride, prove as effective in describing array side effects in LINPACK as more complicated summary techniques. On a set of six programs, regular section analysis of array side effects gives 0 to 39 percent reductions in array dependences at call sites, with 10 to 25 percent increases in analysis time. Symbolic analysis is essential to data dependence testing, array section analysis, and other high-level program manipulations. We give methods for building symbolic expressions from gated single-assignment form and simplifying them arithmetically. On a suite of 33 scientific Fortran programs, symbolic dependence testing yields reductions of 0 to 32 percent in the number of array dependences, as compared with constant propagation alone.The additional time and space requirements appear proportional to the size of the codes analyzed. Interprocedural symbolic methods are essential in enabling array section analysis and other advanced techniques to operate on multiple procedures. Our implementation provides this support while allowing for recompilation analysis to approximate the incrementalism of separate compilation. However, direct improvement of data dependence graphs from interprocedural symbolic facts is rare in the programs studied. Overall, the use of our symbolic techniques in a production compiler is justified by their efficiency, their direct enhancement of dependence testing within procedures, and their indirect improvement of interprocedural dependence testing through array side effect analysis.
    Description
    This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/16828
    Citation
    Havlak, Paul. "Interprocedural Symbolic Analysis." (1994) https://hdl.handle.net/1911/96442.
    Type
    Technical report
    Citable link to this page
    https://hdl.handle.net/1911/96442
    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