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SUMMARY:Performance and Correctness Debugging Techniques for Task Parallel Programs LOCATION:CoRE B 305 DESCRIPTION;ENCODING=QUOTED-PRINTABLE:
Abstract:
Debugging parallel programs for perform ance and correctness is notoriously challenging. First, performance and cor rectness issues can occur in any of the numerous interleavings for an input , making it necessary for every interleaving to be tested to confirm the ab sence of any issue. Second, issues may not manifest during small scale test ing, but may occur when a program is executed at scale. Finally, secondary effects of parallel execution on hardware, can influence the performance of a program, and skew the execution to mask correctness issues. Hence, there is a need for tools that can expose issues that may occur in any execution of a program, not just in the observed execution.
In this dissertati on, we propose techniques to identify performance and correctness issues in dependent of an execution for a class of parallel programs, called task par allel programs. We present TaskProf, a profiler that can highlight scalabil ity bottlenecks, runtime overheads and secondary effects in task parallel p rograms. TaskProf identifies performance issues by constructing a performan ce model of the program and computing the logical parallelism expressed in the program for a given input. Using the performance model and parallelism, TaskProf automatically identifies code regions that must be optimized to i mprove the parallelism of the program. The key insight is a novel what-if a nalysis technique, that can check if hypothetically optimizing a region of code will improve the parallelism of the program. Further, we propose a dif ferential analysis technique that compares the performance models from two executions - a parallel execution, and an oracle execution and pinpoints co de regions with work inflation as regions experiencing secondary effects. F inally, this dissertation proposes PTRacer, a tool to detect concurrency co rrectness issues like races, and atomicity violations in task parallel prog rams. For a class of task parallel programs, PTRacer can detect correctness issues that can occur in any interleaving of the program for a given input .
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