Two-dimensional Compressible Flow Simulation on Emulated Digital CNN-UM

• Published in: 2008 11th International Workshop on Cellular Neural Networks and Their Applications pp. 169 - 174
• Main Authors: Kocsardi, S., Nagy, Z., Csik, A., Szolgay, P.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2008
• Subjects: Computational modeling; Computer architecture; Equations; Field programmable gate arrays; Magnetic cores; Mathematical model; Microprocessors
• ISBN: 142442089X; 9781424420896
• ISSN: 2165-0144
• DOI: 10.1109/CNNA.2008.4588672

In the area of mechanical, aerospace, chemical and civil engineering the solution of partial differential equations (PDEs) has been one of the most important problems of mathematics for a long time. In this field, one of the most exciting areas is the simulation of fluid flow, which involves for example problems of air, sea and land vehicle motion. In this paper a CNN-UM based solver of 2D inviscid, adiabatic, compressible fluids will be presented. The governing equations are solved by using first- and second-order numerical methods. Unfortunately the necessity the coupled multi-layered computational structure with non-linear, space-variant templates does not make it possible to utilize the huge computing power of the analog CNN-UM chips. To improve the performance of our solution emulated digital CNN-UM implemented on FPGA has been used. Properties of the implemented specialized architecture is examined in terms of area, speed and accuracy.