Performance evaluation for a PETSc parallel-in-time solver based on the MGRIT algorithm
Autor: | L. Carracciuolo, Valeria Mele, Diego Romano, Emil M. Constantinescu, Luisa D'Amore |
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Přispěvatelé: | Mele, V., Romano, D., Constantinescu, E. M., Carracciuolo, L., D'Amore, L. |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Discretization
Computer science business.industry Linear system Context (language use) Linear systems 010103 numerical & computational mathematics 02 engineering and technology Modular design Solver 01 natural sciences Parallelism-in-time PETSc Integrator MGRIT 0202 electrical engineering electronic engineering information engineering Parallelism (grammar) Performance evaluation Multigrid reduction 020201 artificial intelligence & image processing 0101 mathematics business Algorithm |
Zdroj: | Euro-Par 2018: Parallel Processing Workshops. Euro-Par 2018, pp. 716–728, 2019 info:cnr-pdr/source/autori:Mele, Valeria; Romano, Diego; Constantinescu, Emil M.; Carracciuolo, Luisa; D'Amore, Luisa/titolo:Performance evaluation for a PETSc parallel-in-time solver based on the MGRIT algorithm/titolo_volume:Euro-Par 2018: Parallel Processing Workshops. Euro-Par 2018/curatori_volume:/editore:/anno:2019 Lecture Notes in Computer Science ISBN: 9783030105488 Euro-Par Workshops |
Popis: | We herein describe the performance evaluation of a modular implementation of the MGRIT (MultiGrid-In-Time) algorithm within the context of the PETSc (the Portable, Extensible Toolkit for Scientific computing) library. Our aim is to give the PETSc users the opportunity of testing the MGRIT parallel-in-time approach as an alternative to the Time Stepping integrator (TS), when solving their problems arising from the discretization of linear evolutionary models. To this end, we analyzed the performance parameters of the algorithm in order to underline the relationship between the configuration factors and problem characteristics, intentionally overlooking any accuracy issue and spacial parallelism. |
Databáze: | OpenAIRE |
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