Two-dimensional compressible flow simulation on emulated digital CNN-UM

Abstract

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.

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Cite this paper

@article{Kocsrdi2008TwodimensionalCF, title={Two-dimensional compressible flow simulation on emulated digital CNN-UM}, author={S{\'a}ndor Kocs{\'a}rdi and Zoltax0301n Nagy and A. Csik and P{\'e}ter Szolgay}, journal={2008 11th International Workshop on Cellular Neural Networks and Their Applications}, year={2008}, pages={169-174} }