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Tools for High Performance Computing...
~
Resch, Michael M.
Tools for High Performance Computing 2018 / 2019 = Proceedings of the 12th and of the 13th International Workshop on Parallel Tools for High Performance Computing, Stuttgart, Germany, September 2018, and Dresden, Germany, September 2019 /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Tools for High Performance Computing 2018 / 2019/ edited by Hartmut Mix, Christoph Niethammer, Huan Zhou, Wolfgang E. Nagel, Michael M. Resch.
其他題名:
Proceedings of the 12th and of the 13th International Workshop on Parallel Tools for High Performance Computing, Stuttgart, Germany, September 2018, and Dresden, Germany, September 2019 /
其他作者:
Resch, Michael M.
面頁冊數:
VIII, 270 p. 118 illus., 106 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Programming Techniques. -
電子資源:
https://doi.org/10.1007/978-3-030-66057-4
ISBN:
9783030660574
Tools for High Performance Computing 2018 / 2019 = Proceedings of the 12th and of the 13th International Workshop on Parallel Tools for High Performance Computing, Stuttgart, Germany, September 2018, and Dresden, Germany, September 2019 /
Tools for High Performance Computing 2018 / 2019
Proceedings of the 12th and of the 13th International Workshop on Parallel Tools for High Performance Computing, Stuttgart, Germany, September 2018, and Dresden, Germany, September 2019 /[electronic resource] :edited by Hartmut Mix, Christoph Niethammer, Huan Zhou, Wolfgang E. Nagel, Michael M. Resch. - 1st ed. 2021. - VIII, 270 p. 118 illus., 106 illus. in color.online resource.
Detecting disaster before it strikes: On the challenges of automated building and testing in HPC environments -- Saving Energy Using the READEX Methodology -- The MPI Tool Interfaces: Past, Present, and Future—Capabilities and Prospects -- A tool for runtime analysis of performance and energy usage in NUMA systems -- Usage experiences of performance tools for modern C++ code analysis and optimization -- Performance Analysis of Complex Engineering Frameworks -- System-wide Low-frequency Sampling for Large HPC Systems -- Exploring Space-Time Trade-Off in Backtraces -- Enabling Performance Analysis of Kokkos Applications with Score-P -- Regional Profiling for Efficient Performance Optimization -- Effortless Monitoring of Arithmetic Intensity with PAPI’s Counter Analysis Toolkit -- ONE View: a fully automatic method for aggregating key performance metrics and providing users with a synthetic view of HPC applications -- A picture is worth a thousand numbers – Enhancing Cube’s analysis capabilities with plugins -- Advanced Python Performance Monitoring with Score-P.
This book presents the proceedings of the 12th International Parallel Tools Workshop, held in Stuttgart, Germany, during September 17-18, 2018, and of the 13th International Parallel Tools Workshop, held in Dresden, Germany, during September 2-3, 2019. The workshops are a forum to discuss the latest advances in parallel tools for high-performance computing. High-performance computing plays an increasingly important role for numerical simulation and modeling in academic and industrial research. At the same time, using large-scale parallel systems efficiently is becoming more difficult. A number of tools addressing parallel program development and analysis has emerged from the high-performance computing community over the last decade, and what may have started as a collection of a small helper scripts has now matured into production-grade frameworks. Powerful user interfaces and an extensive body of documentation together create a user-friendly environment for parallel tools.
ISBN: 9783030660574
Standard No.: 10.1007/978-3-030-66057-4doiSubjects--Topical Terms:
669781
Programming Techniques.
LC Class. No.: QA71-90
Dewey Class. No.: 004
Tools for High Performance Computing 2018 / 2019 = Proceedings of the 12th and of the 13th International Workshop on Parallel Tools for High Performance Computing, Stuttgart, Germany, September 2018, and Dresden, Germany, September 2019 /
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