Computer Science – Distributed – Parallel – and Cluster Computing
Scientific paper
2012-04-02
ESOP - 21st European Symposium on Programming 7211 (2012) 274-294
Computer Science
Distributed, Parallel, and Cluster Computing
Scientific paper
10.1007/978-3-642-28869-2_14
State-space reduction techniques, used primarily in model-checkers, all rely on the idea that some actions are independent, hence could be taken in any (respective) order while put in parallel, without changing the semantics. It is thus not necessary to consider all execution paths in the interleaving semantics of a concurrent program, but rather some equivalence classes. The purpose of this paper is to describe a new algorithm to compute such equivalence classes, and a representative per class, which is based on ideas originating in algebraic topology. We introduce a geometric semantics of concurrent languages, where programs are interpreted as directed topological spaces, and study its properties in order to devise an algorithm for computing dihomotopy classes of execution paths. In particular, our algorithm is able to compute a control-flow graph for concurrent programs, possibly containing loops, which is "as reduced as possible" in the sense that it generates traces modulo equivalence. A preliminary implementation was achieved, showing promising results towards efficient methods to analyze concurrent programs, with very promising results compared to partial-order reduction techniques.
Fajstrup Lisbeth
Goubault Eric
Haucourt Emmanuel
Mimram Samuel
Raussen Martin
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