Analytical Estimation of the Scalability of Iterative Numerical Algorithms on Distributed Memory Multiprocessors
- 作者: Sokolinsky L.1
-
隶属关系:
- South Ural State University (National Research University)
- 期: 卷 39, 编号 4 (2018)
- 页面: 571-575
- 栏目: Article
- URL: https://journals.rcsi.science/1995-0802/article/view/202058
- DOI: https://doi.org/10.1134/S1995080218040121
- ID: 202058
如何引用文章
详细
This article presents a new high-level parallel computational model named BSF "— Bulk Synchronous Farm. The BSF model extends the BSP model to deal with the computeintensive iterative numericalmethods executed on distributed-memory multiprocessor systems. The BSF model is based on the master-worker paradigm and the SPMD programming model. The BSF model makes it possible to predict the upper scalability bound of a BSF-program with great accuracy. The BSF model also provides equations for estimating the speedup and parallel efficiency of a BSF-program.
作者简介
L. Sokolinsky
South Ural State University (National Research University)
编辑信件的主要联系方式.
Email: leonid.sokolinsky@susu.ru
俄罗斯联邦, Lenin prospekt, 76, Chelyabinsk, 454080
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