Survey Report on Multi GPU Implementation in Open Source CFD Solver

Abstract

A CFD (Computational Fluid Dynamics) solver is used for simulation of fluid flow and heat transfer. It helps in analyzing the various parameters in fluid flow of scientific applications. OpenFOAM (Open Field Operation and Manipulation) [14] is an open source Software which can be used to solve Computational Fluid Dynamics (CFD) problems. The OpenFOAM solves various equations e.g. Mass Conservation, Conjugate Heat Transformer. OpenFOAM solves CFD problems serially as well as in parallel. The motivation of the project is to reduce time for solving CFD problems by implementing it on GPU. The OpenFOAM a software contribution which (Open Field Operation and Manipulation) is open source Tool. OpenFOAM has a many of features to get answer to anything from complex liquid (or gas) moves getting mixed in trouble chemical reactions, turbulence and heat give property in law, to solid driving power and electromagnetic. Existing OpenFOAM executes serially, by introducing parallelism, time required for execution of OpenFOAM can be reduced. For introducing parallelism, System requires CUDA (Compute Unified Device Architecture) enabled CPU (Central Processing Unit). To achieve parallelism, openFOAM requires CUDA support and support is achieved by of gpu library. Library is used to introduce parallelism for single GPU and multigpu can improve performance of OpenFOAM