Speeding up explicit numerical evaluation methods for micromagnetic simulations using demagnetizing field polynomial extrapolation

TL;DR

This paper introduces a polynomial extrapolation technique to approximate the demagnetizing field in micromagnetic simulations, significantly speeding up computations without sacrificing accuracy, especially for higher order explicit evaluation methods.

Contribution

It presents a novel polynomial extrapolation approach to reduce demagnetizing field computation time in explicit micromagnetic simulations, enhancing efficiency for higher order methods.

Findings

Higher order methods with polynomial extrapolation outperform lower order methods with full evaluation.

Achieved over 2x speedup in computation without loss of accuracy.

Polynomial order should match the evaluation method order for optimal results.

Abstract

The performance of numerical micromagnetic models is limited by the demagnetizing field computation, which typically accounts for the majority of the computation time. For magnetization dynamics simulations explicit evaluation methods are in common use. Higher order methods call for evaluation of all effective field terms, including the demagnetizing field, at all sub-steps. Here a general method of speeding up such explicit evaluation methods is discussed, by skipping the demagnetizing field computation at sub-steps, and instead approximating it using polynomial extrapolation based on stored previous exact computations. This approach is tested for a large number of explicit evaluation methods, both adaptive and fixed time-step, ranging from 2nd order up to 5th order. The polynomial approximation order should be matched to the evaluation method order. In this case we show higher order methods with polynomial extrapolation are more accurate than lower order methods with full evaluation of the demagnetizing field. Moreover, for higher order methods we show it is possible to achieve a factor of 2 or more computation speedup with no decrease in solution accuracy.