Graphic representation of atomistic simulation using GPU

Pao Yue-kong Library Electronic Theses Database

Graphic representation of atomistic simulation using GPU

 

Author: Song, Jiayu Michael
Title: Graphic representation of atomistic simulation using GPU
Degree: M.Sc.
Year: 2010
Subject: Hong Kong Polytechnic University -- Dissertations
Nanoelectronics
Spintronics
Computer simulation
Department: Dept. of Electronic and Information Engineering
Pages: vi, 84 leaves : ill. (some col.) ; 30 cm.
InnoPac Record: http://library.polyu.edu.hk/record=b2356816
URI: http://theses.lib.polyu.edu.hk/handle/200/5898
Abstract: Multi-physical multi-scale modelling of materials and devices is an important ingredient of modern nano-electronics and spintronics. Atomistic simulation is one of the main techniques serving this purpose. Graphic representation of the results of atomistic simulation is required to shed light on the effects under consideration. The main target of this project is by combining OpenGL and .NET Framework to provide a powerful and easy-to-use platform for the three-dimension animation of the atomistic simulation. The procedure of implementing this project was divided into three major stages: Original Data Reading, Construction of OpenGL Animation by GPU (Graphic Process Unit), and Animation Output. The implementation of Original Data Reading resulted in a file linking system which could load the data from the external files, and subsequently transform and reconstruct it to internal data. Following the data-reading process, the most significant procedure is the construction of OpenGL Animation by GPU, which is the core of the 3-D representation of the atoms models. As final stage, Animation Output is the tool enabling us to convert complex animation into a normal file format for a further usage like diagram in research paper, presentation and education. Combining the three stages, successful launch of this atomistic simulation would vividly exhibit the three-dimension atomistic animation, which enables us better comprehension of structures of nano-electronics.

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