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Table of contents (7 papers)
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Front Matter
About this book
This book presents the proceedings of the 10th International Parallel Tools Workshop, held October 4-5, 2016 in Stuttgart, Germany – a forum to discuss the latest advances in parallel tools.
High-performance computing plays an increasingly important role for numerical simulation and modelling 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 have emerged from the high-performance computing community over the last decade, and what may have started as collection of small helper script has now matured to production-grade frameworks. Powerful user interfaces and an extensive body of documentation allow easy usage by non-specialists.
Editors and Affiliations
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Höchstleistungszentrum Stuttgart (HLRS), Universität Stuttgart , Stuttgart, Germany
Christoph Niethammer, José Gracia, Michael M. Resch
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Zentrum für Informationsdienste und Hochleistungsrechnen (ZIH), Technische Universität Dresden , Dresden, Germany
Tobias Hilbrich, Wolfgang E. Nagel
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Zentrum für Informationsdienste und Hochleistungsrechnen (ZIH), Technische Universität Dresden, Dresden, Germany
Andreas Knüpfer
Bibliographic Information
Book Title: Tools for High Performance Computing 2016
Book Subtitle: Proceedings of the 10th International Workshop on Parallel Tools for High Performance Computing, October 2016, Stuttgart, Germany
Editors: Christoph Niethammer, José Gracia, Tobias Hilbrich, Andreas Knüpfer, Michael M. Resch, Wolfgang E. Nagel
DOI: https://doi.org/10.1007/978-3-319-56702-0
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-56701-3Published: 09 May 2017
Softcover ISBN: 978-3-319-85977-4Published: 25 July 2018
eBook ISBN: 978-3-319-56702-0Published: 06 May 2017
Edition Number: 1
Number of Pages: IX, 140
Number of Illustrations: 12 b/w illustrations, 48 illustrations in colour
Topics: Computational Science and Engineering, Performance and Reliability, Programming Techniques