石墨 发表于 2025-3-28 15:40:12
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Tulipse: A Visualization Framework for User-Guided Parallelizationew that is augmented with key performance information, and a loop-nest dependency view that can be used to visualize data dependencies gathered from static or dynamic analyses. Our paper will demonstrate how these two new perspectives aid in the parallelization of code.decode 发表于 2025-3-28 23:04:21
Pattern-Independent Detection of Manual Collectives in MPI Programs recorded in event traces, our method is independent of the specific communication pattern employed. We demonstrate that replacing detected broadcasts in the HPL benchmark can yield significant performance improvements.ordain 发表于 2025-3-29 03:42:48
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Using Load Information in Work-Stealing on Distributed Systems with Non-uniform Communication Latenc, whereas there is little improvement for less irregular ones. Furthermore, we show that when load information is used, Cluster-aware Random Stealing gives the best speedups for both regular and irregular D&C applications.ostensible 发表于 2025-3-29 11:41:41
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https://doi.org/10.1007/978-3-642-94305-8structures and data dependencies in order to do a good job. Current options available to the programmer include either automatic parallelization or a complete rewrite in a parallel programming language. However, there are limitations with these options. In this paper, we propose a framework that enaORBIT 发表于 2025-3-30 04:03:01
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