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- research-articleNovember 2013
Using automated performance modeling to find scalability bugs in complex codes
SC '13: Proceedings of the International Conference on High Performance Computing, Networking, Storage and AnalysisArticle No.: 45, Pages 1–12https://doi.org/10.1145/2503210.2503277Many parallel applications suffer from latent performance limitations that may prevent them from scaling to larger machine sizes. Often, such scalability bugs manifest themselves only when an attempt to scale the code is actually being made---a point ...
- research-articleJuly 2013
Scalasca support for MPI+OpenMP parallel applications on large-scale HPC systems based on Intel Xeon Phi
XSEDE '13: Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to DiscoveryArticle No.: 37, Pages 1–8https://doi.org/10.1145/2484762.2484777Intel Xeon Phi coprocessors based on the Many Integrated Core (MIC) architecture are starting to appear in HPC systems, with Stampede being a prominent example available within the XSEDE cyber-infrastructure. Porting MPI and OpenMP applications to such ...
- ArticleJune 2010
Further improving the scalability of the scalasca toolset
PARA'10: Proceedings of the 10th international conference on Applied Parallel and Scientific Computing - Volume 2Pages 463–473https://doi.org/10.1007/978-3-642-28145-7_45Scalasca is an open-source toolset that can be used to analyze the performance behavior of parallel applications and to identify opportunities for optimization. Target applications include simulation codes from science and engineering based on the ...
