STEM image simulation with hybrid CPU/GPU programming

Y Yao; B H Ge; X Shen; Y G Wang; R C Yu

doi:10.1016/j.ultramic.2016.04.001

STEM image simulation with hybrid CPU/GPU programming

Ultramicroscopy. 2016 Jul:166:1-8. doi: 10.1016/j.ultramic.2016.04.001. Epub 2016 Apr 14.

Authors

Y Yao¹, B H Ge², X Shen², Y G Wang², R C Yu²

Affiliations

¹ Beijing National Laboratory of Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China. Electronic address: yaoyuan@iphy.ac.cn.
² Beijing National Laboratory of Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China.

PMID: 27093687
DOI: 10.1016/j.ultramic.2016.04.001

Abstract

STEM image simulation is achieved via hybrid CPU/GPU programming under parallel algorithm architecture to speed up calculation on a personal computer (PC). To utilize the calculation power of a PC fully, the simulation is performed using the GPU core and multi-CPU cores at the same time to significantly improve efficiency. GaSb and an artificial GaSb/InAs interface with atom diffusion have been used to verify the computation.

Keywords: Hybrid; STEM; Simulation.

Publication types

Research Support, Non-U.S. Gov't