D3.2 Report on parallel in time methods and release of the solvers

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Contact: principe@cimne.upc.edu
International Centre for Numerical Methods in Engineering

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Contact: ramon.codina@upc.edu
Universitat Politècnica de Catalunya - BarcelonaTech

, R. Rossi

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S. Zaghia,d, X. Martineza,c, R. Rossia,b
a CIMNE – Centre Internacional de Metodes Numerics en Enginyeria, Universitat Politécnica de Catalunya (UPC-BarcelonaTech), Barcelona 08034, Spain / Department of Civil and Environmental Engineering, Universitat Politécnica de Catalunya (UPC-BarcelonaTech), Barcelona 08034, Spain

, C. Soriano

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Contact: csoriano@cimne.upc.edu
International Centre for Numerical Methods in Engineering

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D3.2 Report on parallel in time methods and release of the solvers

M. Caicedo, J. Principe

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Contact: principe@cimne.upc.edu
International Centre for Numerical Methods in Engineering

, R. Codina

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Contact: ramon.codina@upc.edu
Universitat Politècnica de Catalunya - BarcelonaTech

, R. Rossi

, C. Soriano

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Contact: csoriano@cimne.upc.edu
International Centre for Numerical Methods in Engineering

Abstract

In this deliverable we provide the details related to the design, implementation, and scalability analysis of Space Time Balancing Domain Decomposition by Constraints (STBDDC) preconditioners that have been implemented in the FEMPAR project [8]. First, we describe the state of the art of space-time methods in Sect. 2 and we then provide some details of our particular implementation in Sect. 3. Next, in Sect. 4, we present a detailed description of the numerical experiments performed during the project showing the excellent scalability results that these algorithms permit to achieve. At the same time, we show the limitations of these algorithms when dealing with nonlinear problems. Finally we draw some concluding remarks in Sect. 5.

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M. Caicedo, J. Principe, R. Codina, R. Rossi and C. Soriano, D3.2 Report on parallel in time methods and release of the solvers, Open Access Repository of the ExaQUte project: Deliverables (2021). 8 URL https://www.scipedia.com/public/Caicedo_et_al_2021a

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