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Tools for High Performance Computing 2009 [electronic resource] : 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.

By: Müller, Matthias S [editor.].
Contributor(s): Resch, Michael M [editor.] | Schulz, Alexander [editor.] | Nagel, Wolfgang E [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010Description: XIV, 184p. 59 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642112614.Subject(s): Computer science | Computer network architectures | Software engineering | Physics | Engineering | Computer Science | Software Engineering/Programming and Operating Systems | Computer System Implementation | ComplexityDDC classification: 005.1 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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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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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