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About this book
This book presents the state of the art in High Performance Computing on modern supercomputer architectures. It addresses trends in hardware and software development in general, as well as the future of High Performance Computing systems and heterogeneous architectures. The contributions cover a broad range of topics, from improved system management to Computational Fluid Dynamics, High Performance Data Analytics, and novel mathematical approaches for large-scale systems. In addition, they explore innovative fields like coupled multi-physics and multi-scale simulations. All contributions are based on selected papers presented at the 26th and 28th Workshops on Sustained Simulation Performance, held at the High Performance Computing Center, University of Stuttgart, Germany, in October 2017 and 2018, and the 27th and 29th Workshops on Sustained Simulation Performance, held at the Cyberscience Center, Tohoku University, Japan, in March 2018 and 2019.
Keywords
Table of contents (18 papers)
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Performance Analysis and Optimization on Modern HPC Systems
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Techniques and Tools for New-Generation Computing Systems
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Load Balancing Problems in HPC Simulations
Editors and Affiliations
Bibliographic Information
Book Title: Sustained Simulation Performance 2018 and 2019
Book Subtitle: Proceedings of the Joint Workshops on Sustained Simulation Performance, University of Stuttgart (HLRS) and Tohoku University, 2018 and 2019
Editors: Michael M. Resch, Yevgeniya Kovalenko, Wolfgang Bez, Erich Focht, Hiroaki Kobayashi
DOI: https://doi.org/10.1007/978-3-030-39181-2
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-39180-5Published: 31 March 2020
Softcover ISBN: 978-3-030-39183-6Published: 31 March 2021
eBook ISBN: 978-3-030-39181-2Published: 30 March 2020
Edition Number: 1
Number of Pages: VIII, 234
Number of Illustrations: 17 b/w illustrations, 75 illustrations in colour
Topics: Computational Science and Engineering, Simulation and Modeling, Mathematical and Computational Engineering