Ebook: Tools for High Performance Computing 2009: Proceedings of the 3rd International Workshop on Parallel Tools for High Performance Computing, September 2009, ZIH, Dresden

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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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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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.
Content:
Front Matter....Pages I-XIV
PERISCOPE: An Online-Based Distributed Performance Analysis Tool....Pages 1-16
Comprehensive Performance Tracking with Vampir 7....Pages 17-29
Performance Analysis and Workload Characterization with IPM....Pages 31-38
Recent Developments in the Scalasca Toolset....Pages 39-51
MUST: A Scalable Approach to Runtime Error Detection in MPI Programs....Pages 53-66
HPC Profiling with the Sun Studio™ Performance Tools....Pages 67-93
Performance Tuning of x86 OpenMP Codes with MAQAO....Pages 95-113
Scalable Parallel Debugging with g-Eclipse....Pages 115-123
New Analysis Techniques in the CEPBA-Tools Environment....Pages 125-143
The Importance of Run-Time Error Detection....Pages 145-155
Collecting Performance Data with PAPI-C....Pages 157-173
ISP Tool Update: Scalable MPI Verification....Pages 175-184

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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.
Content:
Front Matter....Pages I-XIV
PERISCOPE: An Online-Based Distributed Performance Analysis Tool....Pages 1-16
Comprehensive Performance Tracking with Vampir 7....Pages 17-29
Performance Analysis and Workload Characterization with IPM....Pages 31-38
Recent Developments in the Scalasca Toolset....Pages 39-51
MUST: A Scalable Approach to Runtime Error Detection in MPI Programs....Pages 53-66
HPC Profiling with the Sun Studio™ Performance Tools....Pages 67-93
Performance Tuning of x86 OpenMP Codes with MAQAO....Pages 95-113
Scalable Parallel Debugging with g-Eclipse....Pages 115-123
New Analysis Techniques in the CEPBA-Tools Environment....Pages 125-143
The Importance of Run-Time Error Detection....Pages 145-155
Collecting Performance Data with PAPI-C....Pages 157-173
ISP Tool Update: Scalable MPI Verification....Pages 175-184
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