Difference between revisions of "ScoreP"
ScoreP
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Score-P is a performance evaluation tool for large scale parallel applications. It provides a measurement infrastructure for profiling, event trace recording, and online analysis of High Performance Computing applications. [http://www.vi-hps.org/projects/score-p/] | Score-P is a performance evaluation tool for large scale parallel applications. It provides a measurement infrastructure for profiling, event trace recording, and online analysis of High Performance Computing applications. [http://www.vi-hps.org/projects/score-p/] | ||
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Score-P allows users to instrument and record the behavior of sequential, multi-process (MPI, SHMEM), thread-parallel (OpenMP, Pthreads) and accelerator-based (CUDA, OpenCL) applications as well as hybrid parallel applications. Profile data, in CUBE4 format, can be viewed with CUBE or cube_stat. The Score-P trace files, in OTF2 format, can be visualized using Vampir. | Score-P allows users to instrument and record the behavior of sequential, multi-process (MPI, SHMEM), thread-parallel (OpenMP, Pthreads) and accelerator-based (CUDA, OpenCL) applications as well as hybrid parallel applications. Profile data, in CUBE4 format, can be viewed with CUBE or cube_stat. The Score-P trace files, in OTF2 format, can be visualized using Vampir. | ||
Revision as of 18:20, 20 November 2017
Score-P is a performance evaluation tool for large scale parallel applications. It provides a measurement infrastructure for profiling, event trace recording, and online analysis of High Performance Computing applications. [1]
Score-P allows users to instrument and record the behavior of sequential, multi-process (MPI, SHMEM), thread-parallel (OpenMP, Pthreads) and accelerator-based (CUDA, OpenCL) applications as well as hybrid parallel applications. Profile data, in CUBE4 format, can be viewed with CUBE or cube_stat. The Score-P trace files, in OTF2 format, can be visualized using Vampir.