Experiment in Parallel Computing for the Julia Programming Language

Rui Song, Xumin Song, Yasheng Zhang, Yanni Ma
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引用次数: 0

Abstract

Julia language is a free developing scripting language under the MIT license. Its goal is to case the difficulty of parallel programming. Based on the language mechanisms of Julia, we constructed a use case of computing the average running-time between every two bus stops. And then, we exampled the Julia programming framework and the code refining steps. Julia language supports both multi-cores/CPUs parallel programming mode. To full use all the computing resources, we developed some experiments on new policies about how to improve the computing performance. Experiments show that managing processors in parallel computing model consume working time, but with the increasing of problem size, this impact can be gradually ignored, and gaining nearly linear speedups.
Julia编程语言的并行计算实验
Julia语言是一种基于MIT许可的自由开发脚本语言。它的目标是说明并行编程的困难。基于Julia的语言机制,我们构建了一个计算每两个公交站之间的平均运行时间的用例。然后,我们举例说明了Julia编程框架和代码精炼步骤。Julia语言支持多核/ cpu并行编程模式。为了充分利用所有的计算资源,我们开发了一些关于如何提高计算性能的新策略的实验。实验表明,在并行计算模型中管理处理器消耗工作时间,但随着问题规模的增加,这种影响可以逐渐被忽略,并获得接近线性的速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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