Open Access

Simulation of Two-Dimensional Supersonic Flows on Emulated-Digital CNN-UM

  • Sándor Kocsárdi1Email author,
  • Zoltán Nagy2,
  • Árpád Csík3 and
  • Péter Szolgay2, 4
EURASIP Journal on Advances in Signal Processing20092009:923404

Received: 25 September 2008

Accepted: 7 January 2009

Published: 26 January 2009


Computational fluid dynamics (CFD) is the scientific modeling of the temporal evolution of gas and fluid flows by exploiting the enormous processing power of computer technology. Simulation of fluid flow over complex-shaped objects currently requires several weeks of computing time on high-performance supercomputers. A CNN-UM-based solver of 2D inviscid, adiabatic, and compressible fluids will be presented. The governing partial differential equations (PDEs) are solved by using first- and second-order numerical methods. Unfortunately, the necessity of the coupled multilayered computational structure with nonlinear, 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.


Fluid FlowComputational Fluid DynamicTemporal EvolutionQuantum InformationComputer Technology

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Authors’ Affiliations

Department of Image Processing and Neurocomputing, Faculty of Information Technology, University of Pannonia, Veszprém, Hungary
Cellular Sensory and Wave Computing Laboratory, Computer and Automation Research Institute, Hungarian Academy of Sciences, Budapest, Hungary
Department of Mathematics and Computational Sciences, Széchenyi István University, Győr, Hungary
Faculty of Information Technology, Pázmány Péter Catholic University, Budapest, Hungary


© Sándor Kocsárdi et al. 2009

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.