Methodology of Effective Task Planning and Algorithm for Multivariate Computation of the Characteristics of a Quantum Rotation Sensor on a Hybrid Supercomputer Cluster

The problem of planning supercomputer computations is considered using the example of computing the characteristics of a quantum rotation sensor model. A methodology for applying the task scheduling algorithm is proposed. For this purpose, time estimates were obtained for computations at cluster nod...

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Bibliographic Details
Published in:Automatic control and computer sciences 2018-11, Vol.52 (6), p.496-504
Main Authors: Ilyashenko, A. S., Voskoboynikov, S. P., Ustinov, S. M., Lukashin, A. A.
Format: Article
Language:English
Subjects:
Algorithms
Clusters
Computational efficiency
Computer Science
Computing time
Control Structures and Microprogramming
Nodes
Rotation
Supercomputers
Synchronism
Task scheduling
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Summary:The problem of planning supercomputer computations is considered using the example of computing the characteristics of a quantum rotation sensor model. A methodology for applying the task scheduling algorithm is proposed. For this purpose, time estimates were obtained for computations at cluster nodes. The possibility of dividing settlements by cluster nodes without additional synchronization costs is shown. A start-up algorithm for improving the efficiency of multivariate computations is presented, and the efficiency of the planning algorithm in its use is estimated.
ISSN:0146-4116
1558-108X
DOI:10.3103/S014641161806007X