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Automatic Control and Computer Sciences
Erschienen in: Automatic Control and Computer Sciences 8/2019

01.12.2019

Model and Method for Optimizing Computational Processes in Parallel Computing Systems

verfasst von: V. G. Anisimov, P. D. Zegzhda, E. G. Anisimov, T. N. Saurenko, V. V. Kasatkin

Erschienen in: Automatic Control and Computer Sciences | Ausgabe 8/2019

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Abstract

The paper proposes a model and a method for optimizing computational processes in parallel computing systems. The model is constructed by the decomposition of computer programs for solving problems into relatively independent elements (blocks) and presenting the information dependence of the blocks in the form of corresponding directed graphs. Here, the computational process organization consists in the dynamic allocation of resources of a computing system for the implementation of operations of each block. As an efficiency indicator of this process, we take the time of implementing operations of all blocks of considered programs (the solution time of related problems). The goal of the optimization is to reduce this time as much as possible. To form the optimal resource allocation, we propose the method based on the branch-and-bound procedure.
Vorheriger Artikel Detection of Weaknesses in Information Systems for Automatic Selection of Security Actions
Nächster Artikel Clustering of Malicious Executable Files Based on the Sequence Analysis of System Calls
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Metadaten
Titel
Model and Method for Optimizing Computational Processes in Parallel Computing Systems
verfasst von
V. G. Anisimov
P. D. Zegzhda
E. G. Anisimov
T. N. Saurenko
V. V. Kasatkin
Publikationsdatum
01.12.2019
Verlag
Pleiades Publishing
Erschienen in
Automatic Control and Computer Sciences / Ausgabe 8/2019
Print ISSN: 0146-4116
Elektronische ISSN: 1558-108X
DOI
https://doi.org/10.3103/S0146411619080054

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