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Region and effect inference for safe parallelism.

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Title: Region and effect inference for safe parallelism.
Authors: Tzannes, Alexandros1 atzannes@gmail.com, Heumann, Stephen T.1, Eloussi, Lamyaa1, Vakilian, Mohsen1, Adve, Vikram S.1, Han, Michael2
Source: Automated Software Engineering. Jun2019, Vol. 26 Issue 2, p463-509. 47p.
Subjects: Algorithms, Mathematical optimization, C++, Java programming language, Mathematical analysis, Recursion theory
Abstract: In this paper, we present the first full regions-and-effects inference algorithm for explicitly parallel fork-join programs. We infer annotations equivalent to those in Deterministic Parallel Java (DPJ) for type-safe C++ programs. We chose the DPJ annotations because they give the strongest safety guarantees of any existing concurrency-checking approach we know of, static or dynamic, and it is also the most expressive static checking system we know of that gives strong safety guarantees. This expressiveness, however, makes manual annotation difficult and tedious, which motivates the need for automatic inference, but it also makes the inference problem very challenging: the code may use region polymorphism, imperative updates with complex aliasing, arbitrary recursion, hierarchical region specifications, and wildcard elements to describe potentially infinite sets of regions. We express the inference as a constraint satisfaction problem and develop, implement, and evaluate an algorithm for solving it. The region and effect annotations inferred by the algorithm constitute a checkable proof of safe parallelism, and it can be recorded both for documentation and for fast and modular safety checking. [ABSTRACT FROM AUTHOR]
Copyright of Automated Software Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: In this paper, we present the first full regions-and-effects inference algorithm for explicitly parallel fork-join programs. We infer annotations equivalent to those in Deterministic Parallel Java (DPJ) for type-safe C++ programs. We chose the DPJ annotations because they give the strongest safety guarantees of any existing concurrency-checking approach we know of, static or dynamic, and it is also the most expressive static checking system we know of that gives strong safety guarantees. This expressiveness, however, makes manual annotation difficult and tedious, which motivates the need for automatic inference, but it also makes the inference problem very challenging: the code may use region polymorphism, imperative updates with complex aliasing, arbitrary recursion, hierarchical region specifications, and wildcard elements to describe potentially infinite sets of regions. We express the inference as a constraint satisfaction problem and develop, implement, and evaluate an algorithm for solving it. The region and effect annotations inferred by the algorithm constitute a checkable proof of safe parallelism, and it can be recorded both for documentation and for fast and modular safety checking. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Automated Software Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10515-019-00257-3
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        Text: English
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      – TitleFull: Region and effect inference for safe parallelism.
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              Text: Jun2019
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