Modeling and detecting performance problems for distributed and parallel programs with JavaPSL
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
Automatic Performance Analysis of MPI Applications Based on Event Traces
Euro-Par '00 Proceedings from the 6th International Euro-Par Conference on Parallel Processing
SCALEA: A Performance Analysis Tool for Distributed and Parallel Programs
Euro-Par '02 Proceedings of the 8th International Euro-Par Conference on Parallel Processing
EARL - A Programmable and Extensible Toolkit for Analyzing Event Traces of Message Passing Programs
HPCN Europe '99 Proceedings of the 7th International Conference on High-Performance Computing and Networking
Automatic Performance Analysis of Master/Worker PVM Applications with Kpi
Proceedings of the 7th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
MDL: A Language And Compiler For Dynamic Program Instrumentation
PACT '97 Proceedings of the 1997 International Conference on Parallel Architectures and Compilation Techniques
A Performance Analysis Tool for Interactive Applications on the Grid
International Journal of High Performance Computing Applications
An interactive Grid for non-invasive vascular reconstruction
CCGRID '04 Proceedings of the 2004 IEEE International Symposium on Cluster Computing and the Grid
Real-Time Performance Support for Complex Grid Applications
Euro-Par 2008 Workshops - Parallel Processing
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The paper presents an approach to overcome a traditional problem of parallel performance analysis tools: performance data often is too low level and cannot easily be mapped to the application, e.g. its execution phases. The G-PM tool offers the user an easy but flexible means to define his own high-level, application specific metrics based on existing metrics and application events. In a case study based on a real world medical application from the CrossGrid project, we demonstrate this concept as well as its usefulness in practice.