Castle: An emulated digital CNN architecture; design issues, new results

Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems

Volumn 1, Issue , 1998, Pages 199-202

  Zarándy, Ákos ^a   Keresztes, Péter ^b   Roska, Tamás ^a   Szolgay, Péter ^a  

^a INSTITUTE OF EXPERIMENTAL MEDICINE   (Hungary)

^b István Széchenyi Polytechnic ^*  (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

CHIP ARCHITECTURE; CNN UNIVERSAL MACHINES; CORE PROCESSORS; DESIGN ISSUES; DIGITAL IMAGE; NEW RESULTS; SILICON AREA;

ELECTRONICS INDUSTRY; MICROPROCESSOR CHIPS;

CELLULAR NEURAL NETWORKS; ELECTRIC NETWORK SYNTHESIS; INTEGRATED CIRCUIT LAYOUT; SEMICONDUCTING SILICON;

EMULATED DIGITAL CELLULAR NEURAL NETWORK;

EID: 0032276619     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICECS.1998.813303     Document Type: Conference Paper

References (13)

1. T. Roska and L. O. Chua, "The CNN Universal Machine: an analogic array computer", IEEE Transactions on Circuits and Systems-II Vol. 40, pp. 163-173, March, 1993.
2. L. O. Chua and L. Yang, "Cellular neural networks: Theory and Applications ", IEEE Trans. on Circuits and Systems, Vol. 35, pp. 1257-1290, 1988.
3. A. Rodrigez-Vazquez, R. Dominguez-Castro, S. Espejo, "Challenges in Mixed-Signal IC Design of CNN Chips in Submicron CMOS", proc. of the fifth IEEE Int. Workshop on Cellular Neural Networks and their Applications, London pp: 13, April, 1998.
4. A. Paasio, A. Dawindzuk, K. Halonen, V. Porra, "Minimum Size 0.5 Micron CMOS Programmable 48x48 CNN Test Chip" European Conference on Circuit Theory and Design, Budapest, pp. 154-15, 1997.
5. http://www.intel.com/pressroom/archive/releases/CN0611 B. HTM
6. S. Andersson "Recent Progress on Logic and Algorithms for Optical Neural Networks (ONN) ", proc. of the fifth IEEE Int. Workshop on Cellular Neural Networks and their Applications, London pp: 50, April, 1998.
7. K. A. Wen, J. Y. Su and C. Y. Lu, "VLSI design of digital Cellular Neural Networks for image processing", J. of Visual Communication aand Image Representation, Vol. 5, No. 2, pp. 1117-126, 1994 1.
8. T. Ikenaga, T. Ogura", Discrete-time Cellular Neural Networks using highly-parallel 2D Cellular Automata CAM2" Proc. of Int. Symp. on Nonlinear Theory and its Applications, pp. 221-224, 1996.
9. M. D. Doan, M. Glesner, R. Chakrabaty, M. Heidenreich, S. Cheung, "Realisation of digital Cellular Neural Network for image processing", Proc. of the IEEE CNNA'94, Rome, pp. 85-90, 1994.
10. CNAPS/PCI Parallel Co-processor, Adaptive Solutions Inc.
11. A. Zarandy, P. Keresztes, T. Roska, P. Szolgay "An emulated digital architecture implementing the CNN Universal Machine" proc. of the fifth IEEE Int. Workshop on Cellular Neural Networks and their Applications, London pp: 249-252, April, 1998.
12. I. Szatmari, K. Laszlo, Cs. Rekeczky, T. Roska, "SIMCNN: Multi-Layer CNN Simulator for The Visual Mouse Platform; User's Guide" Comp. Aut. Inst. of The Hung. Acad. of Sci. Budapest, Hungary 1997.
13. R. Dominguez-Castro, S. Espejo, A. Rodriguez-Vazquez, R. Carmona, "A CNN Universal Chip in CMOS Technology", Proc. of the third IEEE Int. Workshop on Cellular Neural Networks and their Application (CNNA-94), pp. 91-96, Rome Dec. 1994.