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Title: Serial and parallel (CUDA) general purpose Monte Carlo code for atomistic simulations
Author: Díaz Pozuelo, Antonio  
Tutor: Rodriguez Velazquez, Juan Alberto  
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.
Keywords: HPC
graphics processing unit
Document type: info:eu-repo/semantics/masterThesis
Issue Date: Jul-2018
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