MPI和AVX联合执行Jacobi方法的数据重排序分析

2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP) Pub Date : 2023-03-01 DOI:10.1109/PDP59025.2023.00032

T. Jakobs, Sebastian Kratzsch, G. Rünger

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引用次数: 0

摘要

不同并行编程环境的组合可用于开发并行硬件的所有异构级别，这可能导致应用程序的优化。一个典型的组合是使用消息传递接口(MPI)和基于高级向量扩展(AVX)的向量化，本文将对此进行研究。特别强调MPI数据排序及其对AVX矢量化策略的影响。以雅可比方法为例，对几种并行程序版本进行了实现和分析。

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Analyzing Data Reordering of a combined MPI and AVX execution of a Jacobi Method

The combination of different parallel programming environments can be used to exploit all heterogeneous levels of parallel hardware, which might lead to an optimization of application programs. An exemplary combination is the use of the Message Passing Interface (MPI) together with vectorization based on the Advanced vector extensions (AVX), which is investigated in this article. A special emphasis lies on MPI data orderings and their influence on AVX vectorization strategies. The Jacobi method is used as case study for which several parallel program version have been implemented and analyzed.

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2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)

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