Digital Platform for Supercomputer Mathematical Modeling of Spraying Processes
https://doi.org/10.26907/1562-5419-2022-25-6-697-721
Abstract
The work presents a digital platform for supercomputer modeling the problems of spraying the particles on substrates. The purpose of this work is to discuss the general architecture, technology stack and implementation features of the platform's user interface. The platform is based on web technologies for access and management of calculations, which allow implementing a user system for conducting a full cycle of a computational experiment, including the configuration of applied applications, their launch on remote computing resources, monitoring the completion of tasks, analysis and interactive visualization of results. User interaction with computing resources is implemented through the graphical interface that does not require the client computer to have any additional software, except actual version of a modern web browser. An important advantage of the platform is the ability to make large-scale computer research in a multi-user mode that is based on the natural principles of building client-server applications. The presented digital web platform was successfully tested on computing clusters of the KIAM RAS in solving a number of the topical mathematical problems of nanotechnology. Also, with its help, for the last 3 years, group training of MIPT students in modern information technologies has been carried out.
About the Authors
N. I. Tarasov
Keldysh Institute of Applied Mathematics
Russian Federation
Russian Federation
V. O. Podryga
Keldysh Institute of Applied Mathematics
Russian Federation
Russian Federation
S. V. Polyakov
Keldysh Institute of Applied Mathematics
Russian Federation
Russian Federation
A. V. Timakov
Keldysh Institute of Applied Mathematics
Russian Federation
Russian Federation
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Review
For citations:
Tarasov N.I., Podryga V.O., Polyakov S.V., Timakov A.V. Digital Platform for Supercomputer Mathematical Modeling of Spraying Processes. Russian Digital Libraries Journal. 2022;25(6):697-721. (In Russ.) https://doi.org/10.26907/1562-5419-2022-25-6-697-721
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