Please use this identifier to cite or link to this item:

http://hdl.handle.net/10609/84665
Title: Serial and parallel (CUDA) general purpose Monte Carlo code for atomistic simulations
Author: Díaz Pozuelo, Antonio
Director: Rodríguez Velázquez, Juan Alberto
Keywords: HPC
graphics processing unit
algorithms
Issue Date: Jul-2018
Publisher: Universitat Oberta de Catalunya (UOC)
Abstract: The advent of GPUs (Graphics Processing Units) has been a revolution in the way of addressing physical problems through computational methods. In this Master's Thesis, our aim is to exploit the enormous computational capabilities available in modern GPUs with CUDA architecture (Compute Unified Device Architecture) in the field of Atomistic Simulation, specifically with regard to Monte Carlo methods. Therefore, a new software program will be developed. We will study the speed-up obtained from parallelizing the parts of the problem with greater computational complexity and how that acceleration scales with respect to the size of the problem.
Language: Spanish
URI: http://hdl.handle.net/10609/84665
Appears in Collections:Bachelor thesis, research projects, etc.

Share:
Export:
Files in This Item:
File Description SizeFormat 
DiazPozueloAntonio_TFM_MemoriaSigned.pdfMemoria del TFM3.07 MBAdobe PDFView/Open

This item is licensed under a Creative Commons License Creative Commons