Masters Theses

Orcid ID

0000-0001-5621-5949

Date of Award

12-2021

Degree Type

Thesis

Degree Name

Master of Science

Major

Physics

Major Professor

Adolfo G. Eguiluz

Committee Members

H. Hanno Weitering, Anthony Mezzacappa, Stanimire Tomov

Abstract

This thesis details the process of porting the Eguiluz group dynamical density response computational platform to the hybrid CPU+GPU environment at the Summit supercomputer at Oak Ridge National Laboratory (ORNL) Leadership Computing Center. The baseline CPU-only version is a Gordon Bell-winning platform within the formally-exact time-dependent density functional theory (TD-DFT) framework using the linearly augmented plane wave (LAPW) basis set. The code is accelerated using a combination of the OpenACC programming model and GPU libraries -- namely, the Matrix Algebra for GPU and Multicore Architectures (MAGMA) library -- as well as exploiting the sparsity pattern of the matrices involved in the matrix-matrix multiplication. Benchmarks show a 12.3x speedup compared to the CPU-only version. This performance boost should accelerate discovery in material and condensed matter physics through computational means. After the hybrid CPU+GPU code has been sufficiently optimized, it is used to study the dynamical density response function of vanadium sesquioxide, and the results are compared with spectroscopic data from non-resonant inelastic X-ray scattering {NIXS} experiments.

Comments

This is the final version of the thesis, dated August 17, 2021.

Files over 3MB may be slow to open. For best results, right-click and select "save as..."

Share

COinS