使用不同类型协处理器求解全局优化问题的统一方法

2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI) Pub Date : 2015-08-17 DOI:10.1109/MCSI.2015.18

V. Gergel

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引用次数: 12

摘要

本文以并行全局搜索算法为例，给出了一种统一使用各种类型加速器的方法。在开发的通用方案中，依赖于特定类型的加速器的实现元素被封装在有限数量的过程中，这可以大大减少软件开发的费用和时间。所提出的方案在Intel Xeon Phi加速器和通用gpu上进行了测试。实验证明，与仅使用CPU相比，使用加速器的全局优化算法的加速效果更好。利用一组几百个多维多极值问题进行了计算实验。

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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A Unified Approach to Use of Coprocessors of Various Types for Solving Global Optimization Problems

The paper offers a unified approach to use of accelerators of various types by the example of parallel global search algorithms. In the developed general scheme, the implementation elements depending on specific types of accelerators are encapsulated in a limited number of procedures, which allows to largely reduce expenses and time for software development. The offered scheme was tested on Intel Xeon Phi accelerators and general purpose GPUs. Speedup of the global optimization algorithm using accelerators compared to using CPU only is experimentally confirmed. Computational experiments are carried out using a set of a several hundred of multidimensional multiextremal problems.

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2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)

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