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Although the performance measurements in the paper are not such that we can firstt this a solved problem, I think this paper points at an interesting possible solution path to two hard and, thanks to the widespread adoption of multicore processors critical parallel programming problems 1.
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Dealing with data races is the most difficult aspect of parallel program debugging. Since such bugs are usually not easily reproducible, they hindii escape testing, and may go unreported for long periods of time. Debugging may require months, since the actual data race is often no longer visible when a failure results, requiring the problem be reproduced repeatedly with increasingly instrumented programs.
An exception at the time of the race avoids this problem. 2, 2. It has become increasingly clear that we do not know how to fully specify r ide semantics of a multithreaded language like Java that, for security reasons, must specify some semantics for data races. The Java memory model POPL Five is the most successful attempt, but it has recently become clear essay on my first bus ride in hindi it too has some surprising and undesirable properties.
This paper is a great initiative toward something that might actually result in a major advance in shared memory parallel programming, whether it uses transactional memory, or continues to be based on locks.
If we could requrie that data races produce exceptions, these issues disappear. I believe there is now some ongoing work that looks at hardware support for data-race detection, that essay on my first bus ride in hindi greatly reduce the performance costs, and eventually make the data-race as exception model viable for a much larger class of applications.
This paper appeared in PLDI Two thousand eight and was coauthored by Alex Aiken and two of his Ph. students, Isil Dillig and Thomas Dillig. It provides an elegant and scalable solution to a decades-old challenge in the area of program analysis viz.how to perform precise intra- and inter-procedural path-sensitive program analysis without incurring the exponential increase in space and time that arises in a naive code duplication approach.
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