Parallel Mixing Chamber Application using OpenMP and OpenACC

An application was previously developed to simulate mixing chamber problems. So it is possible to propose new catalysis substances, develop new propulsive engines, or evaluate fuel combustion computationally. However, the discrete representation of a simulation has an expressive processing time. In this article, parallelization techniques are proposed and evaluated for the mixing chamber application to run the simulations in multicore and GPU architectures. The results obtained show that the application was 500% faster in multicore and 50% in a Quadro M5000 GPU architecture.