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Tools for High Performance Computing 2012

✍ Scribed by David Lecomber, Patrick Wohlschlegel (auth.), Alexey Cheptsov, Steffen Brinkmann, José Gracia, Michael M. Resch, Wolfgang E. Nagel (eds.)

Publisher: Springer-Verlag Berlin Heidelberg
Year: 2013
Tongue: English
Leaves: 167
Edition: 1
Category: Library

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✦ Synopsis

The latest advances in the High Performance Computing hardware have significantly raised the level of available compute performance. At the same time, the growing hardware capabilities of modern supercomputing architectures have caused an increasing complexity of the parallel application development. Despite numerous efforts to improve and simplify parallel programming, there is still a lot of manual debugging and tuning work required. This process is supported by special software tools, facilitating debugging, performance analysis, and optimization and thus making a major contribution to the development of robust and efficient parallel software. This book introduces a selection of the tools, which were presented and discussed at the 6th International Parallel Tools Workshop, held in Stuttgart, Germany, 25-26 September 2012.

✦ Table of Contents

Front Matter....Pages i-xi
Front Matter....Pages 1-1
Debugging at Scale with Allinea DDT....Pages 3-12
Task Debugging with TEMANEJO....Pages 13-21
Front Matter....Pages 23-23
MPI Runtime Error Detection with MUST: Advanced Error Reports....Pages 25-38
Advanced Memory Checking for MPI Parallel Applications Using MemPin....Pages 39-53
Front Matter....Pages 55-55
Generic Support for Remote Memory Access Operations in Score-P and OTF2....Pages 57-74
Cache-Related Performance Analysis Using Rogue Wave Software’s ThreadSpotter....Pages 75-93
Custom Hot Spot Analysis of HPC Software with the Vampir Performance Tool Suite....Pages 95-114
Extending Scalasca’s Analysis Features....Pages 115-126
The HOPSA Workflow and Tools....Pages 127-146
Front Matter....Pages 147-147
Visualizing More Performance Data Than What Fits on Your Screen....Pages 149-162

✦ Subjects

Computational Science and Engineering; Performance and Reliability; Programming Techniques; Computer Applications

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