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...

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Bibliographische Detailangaben
Hauptverfasser:	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:	Tagungsbericht
Sprache:	eng
Schlagworte:	Cellular neural networks Computational modeling Computer architecture Digital signal processing Engines Hardware Logic arrays Programmable logic arrays Signal processing algorithms Very large scale integration
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Beschreibung
Zusammenfassung:	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.
DOI:	10.1109/CNNA.1996.566574