SIMULAÇÃO CLIMÁTICA DE DADOS DE VENTO EM REDES P2P UTILIZANDO GPU

Abstract

This paper presents an approach of technologies GPGPU (General-Purpose Computing on Graphics Processing Unit) and P2P (peer-to-peer) networks in order to improve the response time of climate data simulations. Thus, an application using CUDA (Compute Unified Device Architecture) architecture and the simulation model of Venthor simulator were initially adopted and integrated into the P2PComp framework. The results indicate an acceleration factor equal to 70 for single computers. Furthermore, the possibility of using a P2P sharing network for processing, higher acceleration factors can be obtained. Computer simulation models usually demand high processing power and this work showed that the use of parallelism in GPUs and P2P networks is an alternative that allows better performance when compared to sequential computing.