Accuracy of patch dynamics with mesoscale temporal coupling for efficient exascale simulation

TL;DR

This paper introduces a modified patch dynamics method for exascale simulations that reduces data transfer by reevaluating patch coupling conditions at mesoscale time intervals, analyzing the associated errors.

Contribution

It presents a novel mesoscale temporal coupling scheme for patch dynamics, minimizing data transfer in exascale computing environments.

Findings

Error depends on mesoscale interval, patch size, and scale ratios.

The scheme maintains accuracy with reduced data transfer.

Analysis guides optimal parameter selection for efficient simulations.

Abstract

Massive parallelisation has lead to a dramatic increase in available computational power. However, data transfer speeds have failed to keep pace and are the major limiting factor in the development of exascale computing. New algorithms must be developed which minimise the transfer of data. Patch dynamics is a computational macroscale modelling scheme which provides a coarse macroscale solution of a problem defined on a fine microscale by dividing the domain into many nonoverlapping, coupled patches. Patch dynamics is readily adaptable to massive parallelisation as each processor can evaluate the dynamics on one, or a few, patches. However, patch coupling conditions interpolate across the unevaluated parts of the domain between patches, and are typically reevaluated at every microscale time step, thus requiring almost continuous data transfer. We propose a modified patch dynamics scheme which minimises data transfer by only reevaluating the patch coupling conditions at `mesoscale' time scales which are significantly larger than the microscale time of the microscale problem. We analyse the error arising from patch dynamics with mesoscale temporal coupling as a function of the mesoscale time interval, patch size, and ratio between the microscale and macroscale.