HIGH PERFORMANCE COMPUTING ARCHITECTURE FOR FLUID DYNAMICS AND FLUID-STRUCTURE INTERACTION

• Autor(a) principal: Couto, Luiz Felipe Marchetti do
• Data de Publicação: 2017
• Outros Autores: Gomes, Henrique Campelo, Pimenta, Paulo de Mattos
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Revista Interdisciplinar de Pesquisa em Engenharia
• Texto Completo: https://periodicos.unb.br/index.php/ripe/article/view/21422
• topic: Fluid-Structure Interaction. Finite Elements. High Performance Computing. GPU. CUDA.

One of the biggest challenges of engineering is enablecomputational solutions that reduce processing time and provide more accurate numerical solutions. Proposals with several approaches that explore new ways of solving such problems or improve existing solutions emerge. Some of the areas dedicated to propose such improvements is the parallel and high performance computing. Techniques that improve the processing time, more efficient algorithms and faster computers open up new horizons allowing to perform tasks that were previously unfeasible or would take too long to complete. We can point out, among several areas of interest, Fluid Dynamics and Fluid-Structure Interaction. In this work it was developed a parallel computing architecture in order to solve numerical problems more efficiently, compared to sequential architecture (e.g. Fluid Dynamics and Fluid-Structure Interaction problems) and it is also possible to extend this architecture to solve different problems (e.g. Structural problems). The objective is to develop an efficient computational algorithm in scientific programming language C ++, based on previous work carried out in Computational Mechanics Laboratory (CML) at Polytechnic School at University of São Paulo, and later with the developed architecture, execute and investigate Fluid Dynamics and Fluid-Structure Interaction problems with the aid of CML computers. A sensitivity analysis is executed for different problems in order to assess the best combination of elements quantity and speedup, and then a perfomance comparison. Using only one GPU, we could get a 10 times speedup compared to a sequential software, using Finite Element with Immersed Boundary Method and a direct solver (PARDISO).