The Parallel Applications Modelling research line is centered on the study of high performance solutions for problems originated in other areas of knowledge (Biology, Geology, Physics, etc). The development of high performance solutions for problems requires a grasp in many levels of specialized knowledge. Besides an analysis of the algorithmic complexity of the problem to be parallelized, it is also necessary to have knowledge about the developing environments and program tests, parallel programming techniques, performance evaluations and high performance architectures.
Castro, M. , Velho , P. , Fernandes, L. G. . A Parallel Approach to Fine-Tune Field Emission Displays Using a Genetic Algorithm. Latin American Conference on High-Performance Computing (CLCAR). San José, Costa Rica. 2013.
Raeder, M. , Griebler, D. , Ribeiro, N. , Fernandes, L. G. , Castro, M. . A Hybrid Parallel Version of ICTM for Cluster of NUMA Machines. IADIS International Conference on Applied Computing (AC). Rio de Janeiro, Brazil. 2011.
Raeder, M. , Musse, S. , Fernandes, L. G. . Computação de Alto Desempenho na Simulação de Multidões. 10a Escola Regional de Alto Desempenho (ERAD). Passo Fundo, Brazil. 2010.
Ribeiro, N. , Raeder, M. , Fernandes, L. G. . Melhorando o Desempenho do NUMA-ICTM Utillizando Programação Híbrida. 10a Escola Regional de Alto Desempenho (ERAD). Passo Fundo, Brazil. 2010.