Supersonic Flow Simulation on Emulated Digital Cellular Neural Networks

In the areas of mechanical, aerospace, chemical and civil engineering the solution of partial differential equations (PDEs) has long been a primary mathematical problem. In this field, one of the most exciting areas of development is the simulation of fluid flow, which involves for example problems of air, sea and land vehicle motion. The governing equations are derived from the NavierStokes equations and solved by using first and second-order numerical methods. In collaboration with the Department of Mathematics and Computational Sciences, Szechenyi Istvan University and the Department of Image Processing and Neurocomputing at the University of Pannonia, researchers at the Cellular Sensory and Wave Computing Laboratory of SZTAKI are working on finding an optimal computational architecture that satisfies the functional requirements with the minimal required precision, while driving computing power toward its maximum level.