Probabilistic data flow analysis: a linear equational approach

Speculative optimisation relies on the estimation of the probabilities that certain properties of the control flow are fulfilled. Concrete or estimated branch probabilities can be used for searching and constructing advantageous speculative and bookkeeping transformations. We present a probabilistic...

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Bibliographic Details
Published inElectronic proceedings in theoretical computer science Vol. 119; no. Proc. GandALF 2013; pp. 150 - 165
Main Authors Di Pierro, Alessandra, Wiklicky, Herbert
Format Journal Article
LanguageEnglish
Published Open Publishing Association 16.07.2013
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Summary:Speculative optimisation relies on the estimation of the probabilities that certain properties of the control flow are fulfilled. Concrete or estimated branch probabilities can be used for searching and constructing advantageous speculative and bookkeeping transformations. We present a probabilistic extension of the classical equational approach to data-flow analysis that can be used to this purpose. More precisely, we show how the probabilistic information introduced in a control flow graph by branch prediction can be used to extract a system of linear equations from a program and present a method for calculating correct (numerical) solutions.
ISSN:2075-2180
2075-2180
DOI:10.4204/EPTCS.119.14