CejkaLuk / masters_thesis

Master's thesis that I wrote during my 3rd year of the Applications of Software Engineering program at the Faculty of Nuclear Sciences and Physical Engineering at the Czech Technical University in Prague.
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Master's Thesis: Parallel Computation of LU Decomposition on GPUs for the Numerical Solution of Partial Differential Equations

This repository tracks the writing of my master's thesis during the 3rd year of the master studies course Applications of Software Engineering at the Faculty of Nuclear Sciences and Physical Engineering - Czech Technical University in Prague.

The development of the Decomposition project is located in a private GitLab repository.

Abstract

This diploma thesis focuses on the implementation of an iterative parallel LU decomposition algorithm with Pivoting (LUP) for Nvidia Graphics Processing Units (GPUs). The primary objectives of this thesis are to apply the implementation as a preconditioner in an existing library and analyze its performance. For this purpose, a project was developed, encompassing procedures for solving systems of equations using LUP, along with unit tests and a benchmarking framework. Furthermore, the project was integrated into a multilevel BDDC solver library. The benchmarks conducted compared the implementation of the algorithm to established GPU libraries in terms of performance and accuracy on a state-of-the-art High-Performance Computing (HPC) cluster. Based on a comprehensive analysis of the benchmark results, recommendations were made regarding the suitability of the implementations for general use and specific problems.