By Bernd Mohr from Jülich Supercomputing Center (JSC), Research Center Juelich
Score-P: the Scalable Performance Measurement Infrastructure for Parallel Codes. It is a software system that provides a measurement infrastructure for profiling, event trace recording, and online analysis of High Performance Computing (HPC) applications. It has been developed within the framework of the Scalable Infrastructure for the Automated Performance Analysis of Parallel Codes (SILC) project funded by the German Federal Ministry of Education and Research (BMBF) under its HPC programme and the Performance Refactoring of Instrumentation, Measurement, and Analysis Technologies for Petascale Computing (PRIMA) project,funded by the United States Department of Energy (DOE) with the goals of being highly scalable and easy to use.
CUBE is a presentation component suitable for displaying performance data for parallel programs including MPI and OpenOpenMP applications. Program performance is represented in a multi-dimensional space including various program and system resources. The tool allows the interactive exploration of this space in a scalable fashion and browsing the different kinds of performance behavior with ease. CUBE also includes a library to read and write performance data as well as operators to compare, integrate, and summarize data from different experiments.