Aikido: Accelerating shared data dynamic analyses

Aikido: Accelerating shared data dynamic analyses

Despite a burgeoning demand for parallel programs, the tools available to developers working on shared-memory multicore processors have lagged behind. One reason for this is the lack of hardware support for inspecting the complex behavior of these parallel programs. Inter-thread communication, which...

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Bibliographic Details
Main Authors: Olszewski, Marek Krystyn (Contributor), Zhao, Qin (Contributor), Koh, David F. (Author), Ansel, Jason Andrew (Contributor), Amarasinghe, Saman P. (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), Koh, David F (Contributor)
Format: Article
Language:English
Published: Association for Computing Machinery, 2012-08-09T20:03:13Z.
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