@article{792203d292d74816989f67b03914e50f,
title = "Parallel performance for a real time Lattice Boltzmann code",
abstract = "This paper details a real time Lattice Boltzmann solver for computing unsteady wakes. The formulation of the lattice Boltzmann method is first presented followed by a discussion of boundary conditions. This is followed by the details of how the basic algorithm was improved to increase single-core efficiency. A discussion of high Reynolds number implementations, and their effect on the overall computational cost follows, and examples are presented alongside performance data on a variety of CPUs.",
keywords = "Lattice Boltzmann Method, Real-time, Wake",
author = "Woodgate, {Mark A.} and Barakos, {George N.} and Rene Steijl and Pringle, {Gavin J.}",
note = "Funding Information: This work is funded under the Engineering and Physical Sciences Research Council Embedded CSE ( EPSRC /eCSE) support grant eCSE05-04 which provides funding to develop software to run on ARCHER and carried out in collaboration with Dr. Gavin Pringle of the EPCC. The use of the UK National Supercomputing Service ARCHER, and the West of Scotland Computing service ARCHIE-WeSt are all gratefully acknowledged. Funding Information: This work is funded under the Engineering and Physical Sciences Research Council Embedded CSE (EPSRC/eCSE) support grant eCSE05-04 which provides funding to develop software to run on ARCHER and carried out in collaboration with Dr. Gavin Pringle of the EPCC. The use of the UK National Supercomputing Service ARCHER, and the West of Scotland Computing service ARCHIE-WeSt are all gratefully acknowledged. Publisher Copyright: {\textcopyright} 2018 Elsevier Ltd",
year = "2018",
month = sep,
day = "15",
doi = "10.1016/j.compfluid.2018.03.004",
language = "English",
volume = "173",
pages = "237--258",
journal = "Computers and Fluids",
issn = "0045-7930",
publisher = "Elsevier",
}