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Developing a high performance parallel application is difficult. An application must often be analyzed and optimized by the programmer before reaching an acceptable level of performance. Performance tools that collect and visualize performance data can reduce the effort needed by the user in the nontrivial optimization process. However, as the size of the performance dataset grows, it becomes nearly...
Given the complexity of parallel programs, developers often must rely on performance analysis tools to help them improve the performance of their code. While many tools support the analysis of message-passing programs, no tool exists that fully supports programs written in programming models that present a partitioned global address space (PGAS) to the programmer, such as UPC and SHMEM. Existing tools...
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