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
A Rule-based Approach for Automatic Bottleneck Detection in Programs on Shared
HIPS '97 Proceedings of the 1997 Workshop on High-Level Programming Models and Supportive Environments (HIPS '97)
A Concept of Grid Application Monitoring
PPAM '01 Proceedings of the th International Conference on Parallel Processing and Applied Mathematics-Revised Papers
Automatic Performance Analysis of MPI Applications Based on Event Traces
Euro-Par '00 Proceedings from the 6th International Euro-Par Conference on Parallel Processing
An Infrastructure for Grid Application Monitoring
Proceedings of the 9th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Extracting the optimal sampling frequency of applications using spectral analysis
Concurrency and Computation: Practice & Experience
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Performance analysis of parallel programs is a time-consuming task and requires a lot of experience. It is the goal of the KOJAK project at the Researc hCentre Juelich to develop an automatic performance analysis environment. A key requirement for the success of this new environment is its easy in tegration with already existing tools on the target platform. The design should lead to tools that can be easily retargeted to different parallel machines based on specification documents. This article outlines the features of the APART Specification Language designed for that purpose and demonstrates its applicability in the context of the KOJAK Cost Analyzer, a first prototype tool of KOJAK.