|Name:||Score-P & Friends: Scalable & Versatile Parallel Performance Analysis with Periscope, Scalasca, TAU & Vampir|
|Time:||Wednesday, June 25, 2014
02:15 pm - 02:45 pm
CCL - Congress Center Leipzig
|Breaks:||01:00 pm - 02:15 pm Lunch|
|Speaker:||Andreas Knüpfer, TU Dresden|
|Abstract:||The talk will present an overview about the community effort Score-P which is a scalable and feature-rich run-time recording package for parallel performance monitoring. It supports profiling, event trace recording, as well as online monitoring; support for sampling is already on the roadmap. Score-P supports a variety of parallel programming models (MPI, OpenMP, CUDA, OpenShmem, GASPI, and others) and a all common HPC architectures (Linux clusters, Cray family, BlueGene family, and more). Unlike all comparable run-time monitoring packages, it is not tied to a particular analysis tool nor to one of the involved groups. Instead it works natively with the four well-established analysis tools Periscope, Scalasca, TAU, and Vampir. Thus it leverages the complementary analysis methodologies of the four tools.
The presentation will highlight the mayor features of Score-P as well as Periscope, Scalasca, TAU, and Vampir and give an outlook to their roadmaps. Also, it will showcase selected application scenarios.