NDLI: Implementation and optimization of a thermal Lattice Boltzmann algorithm on a multi-GPU cluster

Content Provider	IEEE Xplore Digital Library
Author	Bertazzo, A. Mantovani, F. Pivanti, M. Pozzati, F. Schifano, S.F. Tripiccione, R.
Copyright Year	2012
Description	Author affiliation: Università di Roma La, Sapienza and INFN-Ferrara (Italy) (Pivanti, M.) \|\| Università di Ferrara (Italy) (Bertazzo, A.) \|\| CMCS, Università di Ferrara and INFN (Italy) (Tripiccione, R.) \|\| University of Regensburg (Germany) (Mantovani, F.) \|\| Università di Ferrara and INFN-Ferrara (Italy) (Schifano, S.F.) \|\| Fondazione Bruno, Kessler(FBK), Trento (Italy) (Pozzati, F.)
Abstract	Lattice Boltzmann (LB) methods are widely used today to describe the dynamics of fluids. Key advantages of this approach are the relative ease with which complex physics behavior, e.g. associated to multi-phase flows or irregular boundary conditions can be modeled, and - from a computational perspective - the large degree of available parallelism, that can be easily exploited on massively parallel systems. The advent of multi-core and many-core processors, including General Purpose Graphics Processing Unit (GP-GPU), has pushed the quest for parallelization also at the intra-processor level. From this point of view, LB methods may strongly benefit from these new architectures. In this paper we describe the implementation and optimization of a recently proposed thermal LB model - the so called D2Q37 model - on multi-GPU systems. We describe in details the optimization techniques that we have used at both the intra-processor and inter-processor level, present performance and scaling figures and analyze bottlenecks associated to this implementation.
Starting Page	1
Ending Page	9
File Size	977033
Page Count	9
File Format	PDF
ISBN	9781467326322
e-ISBN	9781467326339
e-ISBN	9781467326315
DOI	10.1109/InPar.2012.6339603
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Instruction sets Computational modeling Sociology Lattices Lattice Boltzmann Methods Large scale simulations Statistics Kernel GPGPU Programming Graphics processing unit
Content Type	Text
Resource Type	Article

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