@article {igounet_towards_2012,
	title = {Towards a finite volume model on a many-core platform},
	journal = {Int. J. High Perform. Syst. Archit.},
	volume = {4},
	number = {2},
	year = {2012},
	pages = {78{\textendash}88},
	abstract = {This article presents a study of porting the finite volume model, {caffa3d.MB}, to {GPU} in order to improve its computational efficiency. In particular, we evaluated all the stages of the aforementioned model and implemented on {GPU} the most costly one, the linear systems resolution by means of the strongly implicit procedure ({SIP)} method. The experimental evaluation of the proposed implementation of the solver demonstrates that a significant runtime reduction can be attained (acceleration values up to 18\&\#215;) when compared with a {CPU} version, and this improvement significantly reduces the total runtime of the model. This results evidence a promising prospect for a full {GPU-based} implementation of finite volume flow solvers like {caffa3d.MB.}},
	issn = {1751-6528},
	doi = {10.1504/IJHPSA.2012.050987},
	url = {http://dx.doi.org/10.1504/IJHPSA.2012.050987},
	author = {Igounet, Pablo and Alfaro, Pablo and Usera, Gabriel and Ezzatti, Pablo}
}

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