Please use this identifier to cite or link to this item:
Title: Optimization of muscle simulation with extended position based dynamics applying jacobi and graph-coloring methods
Author: Monteagudo Mañas, Carlos
Jorba, Josep  
Arroyo Garríguez, Ester
Abstract: This project deals with the optimization of the Muscle Simulation with Extended Position Based Dynamics model of Romeo et al. (2018) applying CPU parallelization techniques based on multi-threading. The original model, MSXPBD, is presented by the authors as a plug-in for Autodesk Maya in single-threaded Python, with very high quality simulation results and good computation costs but with range for improvement. In this context, this work has the main objective of optimizing this model thanks to the use of parallelization tools to improve system performance. The parallelization has been focused on applying the Jacobi Method and the Graph Coloring Method, resulting in two respective versions of the multi-threaded C ++ plug-in with OpenMP and getting satisfactory and very promising results.
Keywords: simulation
Type: info:eu-repo/semantics/masterThesis
Issue Date: 9-Jul-2019
Publication license:
Appears in Collections:Bachelor thesis, research projects, etc.

Files in This Item:
File Description SizeFormat 
cmonteagudomaTFM0719memoria.pdfMemoria del TFM35,56 MBAdobe PDFThumbnail