ACE: a digital floating point CNN emulator engine

The architecture of ACE, a multiprocessor analogic cellular neural network (CNN) emulator engine consisting of 2 to 16 TMS320C40 floating point DSPs is introduced. The engine containing up to 512 Mbyte RAM (enough to store a 512/spl times/512/spl times/512 sized CNN cube) which can be controlled thr...

Full description

Saved in:
Bibliographic Details
Published in1996 Fourth IEEE International Workshop on Cellular Neural Networks and their Applications Proceedings (CNNA-96) pp. 273 - 278
Main Authors Feher, B., Szolgay, P., Roska, T., Radvanyi, A.G., Sziranyi, T., Csapodi, M., Laszlo, K., Nemes, L., Szatmari, I., Toth, G., Venetianer, P.L.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1996
Subjects
Cellular neural networks
Computational modeling
Computer architecture
Digital signal processing
Engines
Hardware
Logic arrays
Programmable logic arrays
Signal processing algorithms
Very large scale integration
Online AccessGet full text

Cover

More Information
Summary:The architecture of ACE, a multiprocessor analogic cellular neural network (CNN) emulator engine consisting of 2 to 16 TMS320C40 floating point DSPs is introduced. The engine containing up to 512 Mbyte RAM (enough to store a 512/spl times/512/spl times/512 sized CNN cube) which can be controlled through its SCSI port. It can either accelerate the multilayer CNN simulator CNNM or be accessed directly from the high level, C-based analogic CNN language ACL to achieve the simulation speed of /spl sim/2.8 /spl mu/sec/cell/iteration/DSP for 3/spl times/3 linear templates.
ISBN:9780780332614
078033261X
DOI:10.1109/CNNA.1996.566574