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2012
ACM

Aikido: accelerating shared data dynamic analyses

7 years 9 months ago
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 must be instrumented for many types of analyses, may occur with any memory operation. To detect such thread communication in software, many existing tools require the instrumentation of all memory operations, which leads to significant performance overheads. To reduce this overhead, some existing tools resort to random sampling of memory operations, which introduces false negatives. Unfortunately, neither of these approaches provide the speed and accuracy programmers have traditionally expected from their tools. In this work, we present Aikido, a new system and framework that enables the development of efficient and transparent analyses that operate on shared data. Aikido uses a hybrid o...
Marek Olszewski, Qin Zhao, David Koh, Jason Ansel,
Added 20 Apr 2012
Updated 20 Apr 2012
Type Journal
Year 2012
Where ASPLOS
Authors Marek Olszewski, Qin Zhao, David Koh, Jason Ansel, Saman P. Amarasinghe
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