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  • Research Article
  • Open Access

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

  • 1Email author,
  • 2,
  • 3 and
  • 2, 4
EURASIP Journal on Advances in Signal Processing20092009:923404

https://doi.org/10.1155/2009/923404

  • Received: 25 September 2008
  • Accepted: 7 January 2009
  • Published:

Abstract

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.

Keywords

  • Fluid Flow
  • Computational Fluid Dynamic
  • Temporal Evolution
  • Quantum Information
  • Computer Technology

Publisher note

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Authors’ Affiliations

(1)
Department of Image Processing and Neurocomputing, Faculty of Information Technology, University of Pannonia, Egyetem 10, 8200 Veszprém, Hungary
(2)
Cellular Sensory and Wave Computing Laboratory, Computer and Automation Research Institute, Hungarian Academy of Sciences, 1518 Budapest, Hungary
(3)
Department of Mathematics and Computational Sciences, Széchenyi István University, 9026 Győr, Hungary
(4)
Faculty of Information Technology, Pázmány Péter Catholic University, 1083 Budapest, Hungary

Copyright

© 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.

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