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Published in:
Why Do Scientists and Engineers Need GPU’s Today? Read chapter Read first chapter

2013 | OriginalPaper | Chapter

35. Parallel Lattice Boltzmann Method on CUDA Architecture

Authors : Weibing Feng, Wu Zhang, Bing He, Kai Wang

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

Publisher: Springer Berlin Heidelberg

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Abstract

In this article, an implementation of 2D Lattice Boltzmann Method by CUDA is presented. The simulation has been finished by GPU very well, which has the latest core Tesla C1060. From the results, the speedup of simulation on GPU is 30 times more than on a CPU, and the summit speedup is 41 times.

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previous chapter Using Mixed Precision Algorithm for LINPACK Benchmark on AMD GPU
next chapter Iterative Deblurring of Large 3D Datasets from Cryomicrotome Imaging Using an Array of GPUs
Appendix
Available only for authorised users
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Metadata
Title
Parallel Lattice Boltzmann Method on CUDA Architecture
Authors
Weibing Feng
Wu Zhang
Bing He
Kai Wang
Copyright Year
2013
Publisher
Springer Berlin Heidelberg
Book
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 Year: 2013

DOI
https://doi.org/10.1007/978-3-642-16405-7_35

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