Tools for High Performance Computing 2009 : Proceedings of the 3rd International Workshop on Parallel Tools for High Performance Computing, September 2009, ZIH, Dresden / edited by Matthias S. Müller, Michael M. Resch, Alexander Schulz, Wolfgang E. Nagel.

Springer eBooks

PERISCOPE: An Online-Based Distributed Performance Analysis Tool -- Comprehensive Performance Tracking with Vampir 7 -- Performance Analysis and Workload Characterization with IPM -- Recent Developments in the Scalasca Toolset -- MUST: A Scalable Approach to Runtime Error Detection in MPI Programs -- HPC Profiling with the Sun Studio™ Performance Tools -- Performance Tuning of x86 OpenMP Codes with MAQAO -- Scalable Parallel Debugging with g-Eclipse -- New Analysis Techniques in the CEPBA-Tools Environment -- The Importance of Run-Time Error Detection -- Collecting Performance Data with PAPI-C -- ISP Tool Update: Scalable MPI Verification.

As more and more hardware platforms support parallelism, parallel programming is gaining momentum. Applications can only leverage the performance of multi-core processors or graphics processing units if they are able to split a problem into smaller ones that can be solved in parallel. The challenges emerging from the development of parallel applications have led to the development of a great number of tools for debugging, performance analysis and other tasks. The proceedings of the 3rd International Workshop on Parallel Tools for High Performance Computing provide a technical overview in order to help engineers, developers and computer scientists decide which tools are best suited to enhancing their current development processes.

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