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Parallel and Distributed Processing Symposium, International (2001)
San Francisco, California, USA
Apr. 23, 2001 to Apr. 27, 2001
ISSN: 1530-2075
ISBN: 0-7695-0990-8
pp: 10023a
<p>Development of multithreaded applications is particularly tricky because of their non-deterministic execution behaviors. Tools that support the debugging and performance tuning of such applications are needed. Key to the construction of such tools is the ability to repeat the non-deterministic execution behavior of a multithreaded application. A clean separation between the application and the system that runs it facilitates supporting that ability. This paper presents a platform for constructing such tools in a context in which any separation between the application and the underlying system (and between both and the platform's own instrumentation code) has been obscured.</p> <p>DejaVu supports deterministic replay of non-deterministic executions of multithreaded Java programs on the Jalapeño virtual machine (running on a uniprocessor). Jalapeño is written in Java and its optimizing compiler regularly integrates application, virtual machine, and DejaVu instrumentation code into unified machine-code sequences. DejaVu ensures deterministic replay through symmetric instrumentation - side-effect identical instrumentation in both record and replay modes - and remote reflection which exposes the state of an application without perturbing it.</p>
Bowen Alpern, Ton Ngo, Jong-Deok Choi, Johng Vlissides, "A Perturbation-Free Replay Platform for Cross-Optimized Multithreaded Applications", Parallel and Distributed Processing Symposium, International, vol. 01, no. , pp. 10023a, 2001, doi:10.1109/IPDPS.2001.924957
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