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Predicting performance of an application running on high performance computing (HPC) platforms in a cloud environment is increasingly becoming important because of its influence on development time and resource management. However, predicting the performance with respect to parallel processes is complex for iterative, multi-stage applications. This research proposes a performance approximation approach...
Predicting performance of an application running on parallel computing platforms is increasingly becoming important due to the long development time of an application and the high resource management cost of parallel computing platforms. However, predicting overall performance is complex and must take into account both parallel calculation time and communication time. Difficulty in accurate performance...
Computing platforms for high performance and parallel applications have changed rapidly during the past few years, from single to multiple cores, and from traditional Central Processing Units (CPUs) to hybrid systems which combine CPUs with accelerators such as Graphics Processing Units(GPUs), Intel Xeon Phi, etc. These developments bring more and more challenges to application developers, especially...
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