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Communication Dans Un Congrès Année : 2016

An Out-of-Core Method for Physical Simulations on a Multi-GPU Architecture Using Lattice Boltzmann Method

Résumé

Simulating complex physical phenomena implies the manipulation of an important amount of data. In order to simulate very large simulation domains on a limited computing architecture, such as industrial infrastructures, solutions have to be proposed. In this paper, a new out-of-core method is introduced in order to perform fast physical simulations using a complex Lattice Boltzmann model (LBM) on a single-node multi-GPU (CUDA) architecture. GPU global memory generally is far lower than the CPU main memory, can be problematic for a large simulation domain. The objective of this paper is to propose an efficient method of data exchanges between GPUs, the CPU main memory, which allows to perform fast complex simulations on large installations. The combination of this method with the massive parallelism of GPUs allows to keep good simulation performance. A complex simulation involving two physical components (water + air) is used in order to validate this method.
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Dates et versions

hal-03457331 , version 1 (30-11-2021)

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Citer

Julien Duchateau, Francois Rousselle, Nicolas Maquignon, Gilles Roussel, Christophe Renaud. An Out-of-Core Method for Physical Simulations on a Multi-GPU Architecture Using Lattice Boltzmann Method. 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), Jul 2016, Toulouse, France. pp.581-588, ⟨10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0099⟩. ⟨hal-03457331⟩
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