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Erschienen in:
Why Do Scientists and Engineers Need GPU’s Today? Kapitel lesen Erstes Kapitel lesen

2013 | OriginalPaper | Buchkapitel

8. Multi-scale Continuum-Particle Simulation on CPU–GPU Hybrid Supercomputer

verfasst von : Wei Ge, Ji Xu, Qingang Xiong, Xiaowei Wang, Feiguo Chen, Limin Wang, Chaofeng Hou, Ming Xu, Jinghai Li

Erschienen in: GPU Solutions to Multi-scale Problems in Science and Engineering

Verlag: Springer Berlin Heidelberg

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Abstract

This chapter serves as an introduction to the supercomputing works carried out at CAS-IPE following the strategy of structural consistency among the physics in the simulated systems, mathematical model, computational software expressing the numerical methods and algorithms, and finally architecture of the computer hardware (Li et al., From multiscale modeling to Meso-science—a chemical engineering perspective, 2012; Li et al., Meso-scale phenomena from compromise—a common challenge, not only for chemical engineering, 2009; Ge et al., Chem Eng Sci 66:4426–4458, 2011). Multi-scale simulation of gas-solid flow in continuum-discrete approaches and molecular dynamics simulation of crystalline silicon are taken as examples, both making full use of CPU-GPU hybrid supercomputers. This strategy is demonstrated to be effective and critical for achieving good scalability and efficiency in such simulations. The software and hardware systems thus designed have found wide applications in process engineering.

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Vorheriges Kapitel Preliminary Implementation of PETSc Using GPUs
Nächstes Kapitel GPU Best Practices for HPC Applications at Industry Scale
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Metadaten
Titel
Multi-scale Continuum-Particle Simulation on CPU–GPU Hybrid Supercomputer
verfasst von
Wei Ge
Ji Xu
Qingang Xiong
Xiaowei Wang
Feiguo Chen
Limin Wang
Chaofeng Hou
Ming Xu
Jinghai Li
Copyright-Jahr
2013
Verlag
Springer Berlin Heidelberg
Buch
GPU Solutions to Multi-scale Problems in Science and Engineering

Print ISBN: 978-3-642-16404-0

Electronic ISBN: 978-3-642-16405-7

Copyright-Jahr: 2013

DOI
https://doi.org/10.1007/978-3-642-16405-7_8

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