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Computation 2017, 5(2), 19; doi:10.3390/computation5020019

Esoteric Twist: An Efficient in-Place Streaming Algorithmus for the Lattice Boltzmann Method on Massively Parallel Hardware

Institute for Computational Modeling in Civil Engineering, TU Braunschweig, 38106 Braunschweig, Germany
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Academic Editor: Christian F. Janßen
Received: 31 December 2016 / Revised: 4 March 2017 / Accepted: 16 March 2017 / Published: 23 March 2017
(This article belongs to the Special Issue CFD: Recent Advances in Lattice Boltzmann Methods)
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Abstract

We present and analyze the Esoteric Twist algorithm for the Lattice Boltzmann Method. Esoteric Twist is a thread safe in-place streaming method that combines streaming and collision and requires only a single data set. Compared to other in-place streaming techniques, Esoteric Twist minimizes the memory footprint and the memory traffic when indirect addressing is used. Esoteric Twist is particularly suitable for the implementation of the Lattice Boltzmann Method on Graphic Processing Units. View Full-Text
Keywords: lattice Boltzmann; EsoTwist; in place streaming; indirect addressing; GPGPUs lattice Boltzmann; EsoTwist; in place streaming; indirect addressing; GPGPUs
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Geier, M.; Schönherr, M. Esoteric Twist: An Efficient in-Place Streaming Algorithmus for the Lattice Boltzmann Method on Massively Parallel Hardware. Computation 2017, 5, 19.

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