A massively parallel time-domain coupled electrodynamics–micromagnetics solver

Yao, Zhi; Jambunathan, Revathi; Zeng, Yadong; Nonaka, Andrew

doi:10.1177/10943420211057906

Title: A massively parallel time-domain coupled electrodynamics–micromagnetics solver

Journal Article · 14 January 2022 · International Journal of High Performance Computing Applications

DOI: https://doi.org/10.1177/10943420211057906 · OSTI ID:1840619

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Lawrence Berkeley National Laboratory, Berkeley, CA, USA
University of Minnesota Twin Cities, Minneapolis, MN, USA

We present a high-performance coupled electrodynamics–micromagnetics solver for full physical modeling of signals in microelectronic circuitry. The overall strategy couples a finite-difference time-domain approach for Maxwell’s equations to a magnetization model described by the Landau–Lifshitz–Gilbert equation. The algorithm is implemented in the Exascale Computing Project software framework, AMReX, which provides effective scalability on manycore and GPU-based supercomputing architectures. Furthermore, the code leverages ongoing developments of the Exascale Application Code, WarpX, which is primarily being developed for plasma wakefield accelerator modeling. Our temporal coupling scheme provides second-order accuracy in space and time by combining the integration steps for the magnetic field and magnetization into an iterative sub-step that includes a trapezoidal temporal discretization for the magnetization. The performance of the algorithm is demonstrated by the excellent scaling results on NERSC multicore and GPU systems, with a significant (59×) speedup on the GPU using a node-by-node comparison. We demonstrate the utility of our code by performing simulations of an electromagnetic waveguide and a magnetically tunable filter.

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Sponsoring Organization:: USDOE

Grant/Contract Number:: NONE; AC02-05CH11231

OSTI ID:: 1840619

Journal Information:: International Journal of High Performance Computing Applications, Journal Name: International Journal of High Performance Computing Applications Journal Issue: 2 Vol. 36; ISSN 1094-3420

Publisher:: SAGE PublicationsCopyright Statement

Country of Publication:: United States

Language:: English

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