Overview
Buy print copy
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 24th Workshop on Sustained Simulation Performance, held at the University of Stuttgart’s High Performance Computing Center in Stuttgart, Germany in December 2016 and the subsequent Workshop on Sustained Simulation Performance, held at the Cyberscience Center, Tohoku University, Japan in March 2017.
Similar content being viewed by others
Keywords
Table of contents (12 papers)
-
System Management
-
Mathematical Methods and Approaches
-
Optimisation and Vectorisation
-
Computational Fluid Dynamics
-
High Performance Data Analytics
Editors and Affiliations
Bibliographic Information
Book Title: Sustained Simulation Performance 2017
Book Subtitle: Proceedings of the Joint Workshop on Sustained Simulation Performance, University of Stuttgart (HLRS) and Tohoku University, 2017
Editors: Michael M. Resch, Wolfgang Bez, Erich Focht, Michael Gienger, Hiroaki Kobayashi
DOI: https://doi.org/10.1007/978-3-319-66896-3
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-66895-6Published: 25 October 2017
Softcover ISBN: 978-3-319-88340-3Published: 25 August 2018
eBook ISBN: 978-3-319-66896-3Published: 24 October 2017
Edition Number: 1
Number of Pages: VIII, 192
Number of Illustrations: 35 b/w illustrations, 54 illustrations in colour
Topics: Computational Science and Engineering, Simulation and Modeling, Mathematical and Computational Engineering