Overview
- Describes the state-of-the-art algorithms and implementations essential for molecular simulation in chemical engineering
- Includes high-performance implementations of MD algorithms on current HPC systems covering shared-memory, distributed-memory parallelization and vectorization
- Presents a special focus on hybrid systems using Intel Xeon processors and Intel Xeon Phi coprocessors
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
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Table of contents (6 chapters)
Keywords
About this book
Authors and Affiliations
Bibliographic Information
Book Title: Supercomputing for Molecular Dynamics Simulations
Book Subtitle: Handling Multi-Trillion Particles in Nanofluidics
Authors: Alexander Heinecke, Wolfgang Eckhardt, Martin Horsch, Hans-Joachim Bungartz
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-3-319-17148-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2015
Softcover ISBN: 978-3-319-17147-0Published: 09 April 2015
eBook ISBN: 978-3-319-17148-7Published: 30 March 2015
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: X, 76
Number of Illustrations: 22 b/w illustrations, 13 illustrations in colour
Topics: System Performance and Evaluation, Simulation and Modeling, Engineering Fluid Dynamics, Special Purpose and Application-Based Systems