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    Combining Analysis, Combining Optimizations

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    Author
    Click, Clifford Noel, Jr.
    Date
    February 1995
    Abstract
    This thesis presents a framework for describing optimizations. It shows how to combine two such frameworks and how to reason about the properties of the resulting framework. The structure of the framework provides insight into when a combination yields better results. Also presented is a simple iterative algorithm for solving these frameworks. A framework is shown that combines Constant Propagation, Unreachable Code Elimination, Global Congruence Finding and Global Value Numbering. For these optimizations, the iterative algorithm runs in O(n2) time. This thesis then presents an O(n log n) algorithm for combining the same optimizations. This technique also finds many of the common subexpressions found by Partial Redundancy Elimination. However, it requires a global code motion pass to make the optimized code correct, also presented. The global code motion algorithm removes some Partially Dead Code as a side-effect. An implementation demonstrates that the algorithm has shorter compile times than repeated passes of the separate optimizations while producing run-time speedups of 4%–7%. While global analyses are stronger, peephole analyses can be unexpectedly powerful. This thesis demonstrates parse-time peephole optimizations that find more than 95% of the constants and common subexpressions found by the best combined analysis. Finding constants and common subexpressions while parsing reduces peak intermediate representation size. This speeds up the later global analyses, reducing total compilation time by 10%. In conjunction with global code motion, these peephole optimizations generate excellent code very quickly, a useful feature for compilers that stress compilation speed over code quality.
    Description
    This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/16807
    Citation
    Click, Clifford Noel, Jr.. "Combining Analysis, Combining Optimizations." (1995) https://hdl.handle.net/1911/96451.
    Type
    Technical report
    Citable link to this page
    https://hdl.handle.net/1911/96451
    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).
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    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