Work

On an Algorithm for Decomposing Multi-Block Structured Meshes for Calculating Dynamic Wave Processes in Complex Structures on Supercomputers with Distributed Memory

Year: 2024

Type: article

Abstract: The advancement of the oil and gas industry represents a key priority area for the Russian Federation. The Arctic region contains substantial hydrocarbon reserves, but the inherent difficulties in exploring these resources make them particularly challenging to access. The present paper is devoted to the numerical calculation of the dynamic impact propagation on an oil platform using parallel computing methods. To address this issue, a grid-characteristic method was employed. The substantial volume of computation necessitates the utilization of parallel computing techniques, such as Message Passing Interface (MPI). A grid model was constructed based on a real platform, and an algorithm for decomposing the computational domain was developed with the aim of reducing the message time between MPI processes and increasing speedup. A series of test calculations were performed to demonstrate the capabilities of the algorithms. Examples of calculations and the application of the developed method of decomposition are provided. The feasibility of decomposition and parallelization algorithms is currently being investigated. The conducted tests have demonstrated the potential for using the model for real calculations.

Source: Supercomputing Frontiers and Innovations

DOI: 10.14529/jsfi240405

Authors: Ilia N. Agrelov, Nikolay I. Khokhlov, Vladislav O. Stetsyuk, Sergey D. Agibalov

Institutions: Moscow Institute of Physics and Technology, Russian Academy of Sciences, Research Institute for System Studies

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: Russian Science Foundation

Award: G4783368614