[11p-N107-1~16] 23.1 Joint Session N "Informatics"

[11p-N107-1] Massively parallel Monte Carlo calculation in advanced measurement data analysis

〇Takeo Hoshi^1,2, Harumichi Iwamoto¹, Koji Hukushima³ (1.Tottori Univ., 2.KEK-IMSS-SPF, 3.Univ. Tokyo)

Keywords:Monte Carlo method, Massively Parallel Supercomputer, Total-Refrection High-Energy Positron Diffraction

A massively parallel (population annealing) Monte Carlo method was introduced as a fast and reliable measurement data analysis method with supercomputers. The method was implemented as an additional function in the analysis software 2DMAT, which mainly targets the total reflection high-energy positron diffraction (TRHEPD) experiment, a new method for atomic-scale non-destructive measurement of material surfaces. In this talk, we will demonstrate the usefulness of the software by giving examples on massively parallel supercomputers such as Fugaku.