Tools for High Performance Computing 2009 : Proceedings of the 3rd International Workshop on Parallel Tools for High Performance Computing, September 2009, ZIH, Dresden 🔍
Shajulin Benedict, Ventsislav Petkov (auth.), Matthias S. Müller, Michael M. Resch, Alexander Schulz, Wolfgang E. Nagel (eds.) Springer-Verlag Berlin Heidelberg, 2010, May 01, 2010
英语 [en] · PDF · 11.4MB · 2010 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save
描述
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.
Erscheinungsdatum: 28.06.2010
备用文件名
lgrsnf/A:\compressed\10.1007%2F978-3-642-11261-4.pdf
备用文件名
nexusstc/Tools for High Performance Computing 2009: Proceedings of the 3rd International Workshop on Parallel Tools for High Performance Computing, September 2009, ZIH, Dresden/adcec0fee3d63e5f9dab9bff3c717991.pdf
备用文件名
zlib/Computers/Programming/Shajulin Benedict, Ventsislav Petkov (auth.), Matthias S. Müller, Michael M. Resch, Alexander Schulz, Wolfgang E. Nagel (eds.)/Tools for High Performance Computing 2009: Proceedings of the 3rd International Workshop on Parallel Tools for High Performance Computing, September 2009, ZIH, Dresden_2101000.pdf
备选作者
Matthias S Müller; Höchstleistungsrechenzentrum Stuttgart; International Workshop on Parallel Tools for High Performance Computing
备选作者
International Workshop on Parallel Tools for High Performance Computing (3rd 2009 Dresden, Germany)
备选作者
Matthias S. Müller ... [et al.], editors
备用出版商
Spektrum Akademischer Verlag. in Springer-Verlag GmbH
备用出版商
Steinkopff. in Springer-Verlag GmbH
备用出版商
Springer-Verlag New York Inc
备用出版商
Springer Nature
备用版本
Heidelberg, New York, Germany, 2010
备用版本
Springer Nature, Heidelberg, 2010
备用版本
Heidelberg ; London, ©2010
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Germany, Germany
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2010, PS, 2010
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Berlin, 2010
备用版本
1, 20100527
元数据中的注释
lg947112
元数据中的注释
{"edition":"1","isbns":["3642112609","3642112617","9783642112607","9783642112614"],"last_page":184,"publisher":"Springer"}
元数据中的注释
Conference proceedings.
Includes bibliographical references.
备用描述
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 StudioTM 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
开源日期
2013-08-01
更多信息……

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