利用SkelGIS库、CUDA和SISAL实现热方程并行算法

2018 4th International Conference on Optimization and Applications (ICOA) Pub Date : 2018-04-01 DOI:10.1109/ICOA.2018.8370538

Safa Belhaous, M. Bentaleb, Soumia Chokri, A. Naji, M. Mestari

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引用次数: 3

摘要

本文提出了三种基于有限差分法求解热方程的算法。这些算法的共同点是它们都是并行开发的。然而，它们中的每一个都使用SkelGIS库，单分配语言(SISAL)中的流和迭代和计算统一设备架构(CUDA)进行了不同的实现。霍尔斯特德指标已被用于评估这些计划。

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Implementation of parallel algorithm for heat equation using SkelGIS library, CUDA and SISAL

In this paper we present three different algorithms based on finite difference method (FDM) for solving heat equation. The common point of these algorithms is that all of them have been developed in parallel. While, each one of them has been differently implemented using SkelGIS library, Streams and Iterations in Single Assignment Language (SISAL) and Compute Unified Device Architecture (CUDA). Halstead metrics have been used for evaluating the programs.

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2018 4th International Conference on Optimization and Applications (ICOA)

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