The Scalable Computational System on Base Mobile Devices for Numerical Modeling in Astrophysics

Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:Lobachevskii Journal of Mathematics vol. 46, no. 1 (Jan 2025), p. 157
Prif Awdur: Ulyanichev, I. S.
Cyhoeddwyd:
Springer Nature B.V.
Pynciau:
Mynediad Ar-lein:Citation/Abstract
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Full Text - PDF
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024 7 |a 10.1134/S199508022460835X  |2 doi 
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045 2 |b d20250101  |b d20250131 
100 1 |a Ulyanichev, I. S.  |u Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia (GRID:grid.465353.2) (ISNI:0000 0000 9188 6409) 
245 1 |a The Scalable Computational System on Base Mobile Devices for Numerical Modeling in Astrophysics 
260 |b Springer Nature B.V.  |c Jan 2025 
513 |a Journal Article 
520 3 |a The article presents the architecture of the mathematical software of a distributed computing system with open source code for smartphones based on Android OS, united into a common network infrastructure. Building ex-scale systems based on mobile devices is a complex scientific task, since such systems must be potentially infinitely scalable, fault-tolerant, and must allow for a guaranteed scalability assessment when solving a specific problem. The BOINC system is the most well-known infrastructure for personal volunteer computing. However, it also has a number of shortcomings that must be eliminated when building a distributed computing system based on mobile devices with ex-scale-class performance. The proposed architecture allows taking into account the reconfiguration of the network of computing devices and constructing a guaranteed scalability assessment for heterogeneous distributed mobile computing systems. The work focused on the application of the developed computing system to solve problems of the collision of white dwarfs and the explosion of a thermonuclear supernova. 
653 |a Software 
653 |a Source code 
653 |a Smartphones 
653 |a Computer architecture 
653 |a Electronic devices 
653 |a Numerical models 
653 |a Fault tolerance 
653 |a Energy efficiency 
653 |a White dwarf stars 
653 |a Infrastructure 
653 |a Distributed processing 
653 |a Reconfiguration 
773 0 |t Lobachevskii Journal of Mathematics  |g vol. 46, no. 1 (Jan 2025), p. 157 
786 0 |d ProQuest  |t Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3259263157/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3259263157/fulltext/embedded/H09TXR3UUZB2ISDL?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3259263157/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch