GPU-accelerated CFD Simulations for Turbomachinery Design Optimization

Design optimization relies heavily on time-consuming simulations, especially when using gradient-free optimization methods. These methods require a large number of simulations in order to get a remarkable improvement over reference designs, which are nowadays based on the accumulated engineering knowledge already quite optimal.<br/>High...

Toward a GPU-aware comparison of explicit and implicit CFD simulations on structured meshes

A computational Fluid Dynamics (CFD) code for steady simulations solves a set of non-linear partial differential equations using an iterative time stepping process, which could follow an explicit or an implicit scheme. On the CPU, the difference between both time stepping methods with respect to stability and performance has been well covered in...

Use of modern GPUs in Design Optimisation

Graphics Processing Units (GPUs) are a promising alternative hardware to Central<br/>Processing Units (CPU) for accelerating applications with a high computational power demand. In many fields researchers are taking advantage of the high computational power present in GPUs to speed up their applications. These applications span from data mining...