Deterministic parallel random-number generation for dynamic-multithreading platforms

Deterministic parallel random-number generation for dynamic-multithreading platforms

Existing concurrency platforms for dynamic multithreading do not provide repeatable parallel random-number generators. This paper proposes that a mechanism called pedigrees be built into the runtime system to enable efficient deterministic parallel random-number generation. Experiments with the open...

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Bibliographic Details
Main Authors: Leiserson, Charles E. (Contributor), Sukha, Jim (Contributor), Schardl, Tao Benjamin (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Association for Computing Machinery (ACM), 2016-01-19T18:37:33Z.
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