Parallel Implementation of a Sensitivity Operator-Based Source Identification Algorithm for Distributed Memory Computers

Large-scale inverse problems that require high-performance computing arise in various fields, including regional air quality studies. The paper focuses on parallel solutions of an emission source identification problem for a 2D advection–diffusion–reaction model where the sources are identified by h...

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Vydáno v:	Mathematics (Basel) Ročník 10; číslo 23; s. 4522
Hlavní autoři:	Penenko, Alexey, Rusin, Evgeny
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.12.2022
Témata:	adjoint equation Air pollution Air quality Algorithms Analysis Data assimilation Distributed memory Distributed processing (Computers) Emission analysis Environmental impact Food science Identification Inverse problems Kalman filters Lake Baikal region large-scale inverse problem Linear operators Memory compaction Memory management Memory mapping Memory partitioning Memory protection Memory refresh (Computers) Message passing Methods Outdoor air quality Parallel processing Sensitivity Sensitivity analysis sensitivity operator source identification Russia
ISSN:	2227-7390, 2227-7390
On-line přístup:	Získat plný text
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