ScoreP

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.