2010•Microcomputer applicationsRequires access

Mixed CUDA、MPI and OpenMP in Three Mode Parallel Programming

Qingkun Liu

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Abstract

Using CUDA + MPI + OpenMP parallel programming model of the three to achieve the coarse-grained parallelbetween nodes,node fine-grained parallelism as well as within the GPU as a parallel computing devices CUDA programming model.This new three parallel hybrid programming way SMP cluster provides a more efficient parallel strategy.This article discusses the three parallel programming environment to build fast and multi-granular hybrid parallel programmingmethod,and in a number of nodes in the cluster environment,the completion of testing.

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What this paper is about

Using CUDA + MPI + OpenMP parallel programming model of the three to achieve the coarse-grained parallelbetween nodes,node fine-grained parallelism as well as within the GPU as a parallel computing devices CUDA programming model.This new three parallel hybrid programming way SMP cluster provides a more efficient parallel strategy.This article discusses the three parallel programming environment to build fast and multi-granular hybrid parallel programmingmethod,and in a number of nodes in the cluster environment,the completion of testing.

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Available abstract

Using CUDA + MPI + OpenMP parallel programming model of the three to achieve the coarse-grained parallelbetween nodes,node fine-grained parallelism as well as within the GPU as a parallel computing devices CUDA programming model.This new three parallel hybrid programming way SMP cluster provides a more efficient parallel strategy.This article discusses the three parallel programming environment to build fast and multi-granular hybrid parallel programmingmethod,and in a number of nodes in the cluster environment,the completion of testing.

Key concepts: CUDA, Computer science, Parallel computing, Parallel programming model, Programming paradigm, Cluster (spacecraft), GPU cluster, Parallel algorithm

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