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Reports (Research Report) Year : 1999

Faster Run-time Specialized Code using Data Specialization

Abstract

Run-time specialization is a technique that optimizes a program based on run-time information. In this context, specialization time must be constrained, limiting the possibility to further optimize the specialized code. We present a low-cost methodology for improving the code generated by a run-time specializer. This result is acheived by combining run-time specialization with another form of automatic specialization, data specializat- ion. We show how to use our approach to implement compaction of run-time specialized code in the framework of the Tempo specializer for C programs. We find that the compaction optimization can improve the performance of the specialized code by up to a factor of 4, while adding only about 10% to the cost of run-time specialization on most of our examples.

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Other [cs.OH]
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Dates and versions

inria-00072824 , version 1 (24-05-2006)

Identifiers

  • HAL Id : inria-00072824 , version 1

Cite

Julia L. Lawall, Gilles Muller. Faster Run-time Specialized Code using Data Specialization. [Research Report] RR-3833, INRIA. 1999. ⟨inria-00072824⟩
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