Use of modern GPUs in Design Optimisation
Mohamed Aissa (von Karman Institute for Fluid Dynamics)
Tom Verstraete (von Karman Institute for Fluid Dynamics)
Kees Vuik (TU Delft - Numerical Analysis)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
Graphics Processing Units (GPUs) are a promising alternative hardware to Central
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 to machine learning and life sciences. The field of design optimization in particular benefits from this alternative hardware. The automated search on the design space has been delegated to GPUs or to a system of CPUs assisted by GPUs. This paper is among the firsts to review the use of GPUs especially for design optimization. The focus is on topology optimization, shape optimization and multidisciplinary design optimization (MDO). The target is to provide an overview not only on the progress made
in design optimization using GPUs but also to highlights limitations that researchers have to cope with and the areas that require more research.