journal article·2016-05-01Open access

Large-scale micromagnetics simulations with dipolar interaction using all-to-all communications

Hiroshi Tsukahara, S.-J. Lee, Kaoru Iwano, Nobuhito Inami, Tadashi Ishikawa, Chiharu Mitsumata, Hideto Yanagihara, Eiji Kita, Kanta Ono

AIP Advances· Volume 6· Issue 5

Abstract

We implement on our micromagnetics simulator low-complexity parallel fast-Fourier-transform algorithms, which reduces the frequency of all-to-all communications from six to two times. Almost all the computation time of micromagnetics simulation is taken up by the calculation of the magnetostatic field which can be calculated using the fast Fourier transform method. The results show that the simulation time is decreased with good scalability, even if the micromagentics simulation is performed using 8192 physical cores. This high parallelization effect enables large-scale micromagentics simulation using over one billion to be performed. Because massively parallel computing is needed to simulate the magnetization dynamics of real permanent magnets composed of many micron-sized grains, it is expected that our simulator reveals how magnetization dynamics influences the coercivity of the permanent magnet.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Magnetic properties of thin films · Magnetic Properties of Alloys · Magnetic and transport properties of perovskites and related materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

High Energy Accelerator Research Organization (KEK) 1 , Tsukuba 305-0801, Japan

University of Tsukuba 2 Institute of Applied Physics, , Tsukuba 305-8573, Japan

National Institute for Materials Science (NIMS) 3 , Tsukuba 305-0047, Japan

References (8)

Show source-provided references
1. Adv. Mater. · 2011 · 23 · 82110.1002/adma.201002180 ↗
2. J. Magn. Magn. Mater · 2011 · 323 · 2810.1016/j.jmmm.2010.08.015 ↗
3. Acta Mater. · 2013 · 61 · 538710.1016/j.actamat.2013.05.027 ↗
4. Scripta Mater. · 2014 · 89 · 2910.1016/j.scriptamat.2014.06.020 ↗
5. IEEE. Trans. Magn. · 2014 · 50 · 140030410.1109/TMAG.2013.2278221 ↗
6. Jpn. J. Appl. Phys. · 1989 · 28 · 248510.1143/JJAP.28.2485 ↗
7. The Journal of Supercomputing · 1990 · 4 · 2310.1007/BF00162341 ↗
8. 2002 · 691