{"id":158868,"date":"2010-03-25T00:00:00","date_gmt":"2010-03-25T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/verifying-local-transformations-of-concurrent-programs\/"},"modified":"2018-10-16T20:59:15","modified_gmt":"2018-10-17T03:59:15","slug":"verifying-local-transformations-of-concurrent-programs","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/verifying-local-transformations-of-concurrent-programs\/","title":{"rendered":"Verifying Local Transformations of Concurrent Programs"},"content":{"rendered":"
The problem of locally transforming or translating programs
\nwithout altering their semantics is central to the construction of correct
\ncompilers. For concurrent shared-memory programs this task is chal-
\nlenging because (1) concurrent threads can observe transformations that
\nwould be undetectable in a sequential program, and (2) contemporary
\nmultiprocessors commonly use relaxed memory models that complicate
\nthe reasoning.
\nIn this paper, we present a novel proof methodology for verifying that a
\nlocal program transformation is sound with respect to a specific hardware
\nmemory model, in the sense that it is not observable in any context. The
\nmethodology is based on a structural induction and relies on a novel
\ncompositional denotational semantics for relaxed memory models that
\nformalizes (1) the behaviors of program fragments as a set of traces,
\nand (2) the effect of memory model relaxations as local trace rewrite
\noperations.
\nTo apply this methodology in practice, we implemented a semi-automated
\ntool called Traver and used it to verify\/falsify several compiler transfor-
\nmations for a number of different hardware memory models.<\/p>\n<\/div>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
The problem of locally transforming or translating programs without altering their semantics is central to the construction of correct compilers. For concurrent shared-memory programs this task is chal- lenging because (1) concurrent threads can observe transformations that would be undetectable in a sequential program, and (2) contemporary multiprocessors commonly use relaxed memory models that complicate 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