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Loop Tree and Induction Variables

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Abstract

Induction variables refer to a wide class of inductive definitions, where the sequence of values taken by a variable follows a regular pattern. The typical case is that of a loop counter. More generally, induction variables are associated with affine, geometric, or otherwise statically predictable progressions in loops. The purpose of the induction variable analysis is to provide a characterization of such sequences. There are numerous applications, from the detection of parallel loops to optimizations such as loop-invariant code motion, strength reduction, eliminating dependencies, and evaluating the number of iterations of a while loop. This chapter focuses particularly on the analysis and classification of induction variables in the presence of complex, low-level control flow (gotos, multiple loop exits, etc.). It describes the algorithm underlying the analysis of “scalar evolutions” in the GCC and LLVM compilers.

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Notes

  1. 1.

    To simplify the discussion, we consider the original program to be free of side effect instructions.

  2. 2.

    Note, however, that the computation of closed-form expressions is not required for dependence testing itself [309].

References

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Correspondence to Albert Cohen .

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Pop, S., Cohen, A. (2022). Loop Tree and Induction Variables. In: Rastello, F., Bouchez Tichadou, F. (eds) SSA-based Compiler Design. Springer, Cham. https://doi.org/10.1007/978-3-030-80515-9_10

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  • DOI: https://doi.org/10.1007/978-3-030-80515-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80514-2

  • Online ISBN: 978-3-030-80515-9

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