GParareal : a time-parallel ODE solver using Gaussian process emulation

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Abstract

Sequential numerical methods for integrating initial value problems (IVPs) can be prohibitively expensive when high numerical accuracy is required over the entire interval of integration. One remedy is to integrate in a parallel fashion, “predicting” the solution serially using a cheap (coarse) solver and “correcting” these values using an expensive (fine) solver that runs in parallel on a number of temporal subintervals. In this work, we propose a time-parallel algorithm (GParareal) that solves IVPs by modelling the correction term, i.e. the difference between fine and coarse solutions, using a Gaussian process emulator. This approach compares favourably with the classic parareal algorithm and we demonstrate, on a number of IVPs, that GParareal can converge in fewer iterations than parareal, leading to an increase in parallel speed-up. GParareal also manages to locate solutions to certain IVPs where parareal fails and has the additional advantage of being able to use archives of legacy solutions, e.g. solutions from prior runs of the IVP for different initial conditions, to further accelerate convergence of the method — something that existing time-parallel methods do not do.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Faculty of Science, Engineering and Medicine > Science > Mathematics
Faculty of Science, Engineering and Medicine > Science > Statistics
SWORD Depositor: Library Publications Router
Library of Congress Subject Headings (LCSH): Gaussian processes, Initial value problems, Parallel programs (Computer programs)
Journal or Publication Title: Statistics and Computing
Publisher: Springer US
ISSN: 1573-1375
Official Date: 2023
Dates:
Date
Event
2023
Published
21 December 2022
Available
7 December 2022
Accepted
Volume: 33
Number: 1
Article Number: 23
DOI: 10.1007/s11222-022-10195-y
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons open licence)
Date of first compliant deposit: 22 June 2023
Date of first compliant Open Access: 22 June 2023
RIOXX Funder/Project Grant:
Project/Grant ID
RIOXX Funder Name
Funder ID
EP/S022244/1
[EPSRC] Engineering and Physical Sciences Research Council
UNSPECIFIED
Culham Centre for Fusion Energy
415980428
[DFG] Deutsche Forschungsgemeinschaft
URI: https://wrap.warwick.ac.uk/173571/

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