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
Language: English
Published by Springer, 2021
- Hardcover
- New

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- Title
- 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
- Author
- Mix, Hartmut (EDT); Zhou, Huan (EDT); Nagel, Wolfgang E. (EDT); Resch, Michael M. (EDT)
- Publisher
- Springer
- Publication year
- 2021
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3030660567
- ISBN 13
- 9783030660567
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
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