Hurdle, John F. | Search NASA

NASA NTRS1993

Robust neural classifier circuits using asynchronous design

Aerospace neural circuits must be adaptive, offer a practical size-performance ratio, and be environmentally robust. Our approach to building such circuits combines asynchronous design with a new fuzzy/neural classifier model. Asynchronous circuits offer many design advantages for neural hardware and our hybrid fuzzy/neural model, using mainly min and max operators, promises a low circuit complexity. The general approach is described and a description of a use of rule-induction to further reduce circuit complexity is described.

Hurdle, John F.↗

NASA NTRS1993

Reliable interface design for combining asynchronous and synchronous circuits

In order to successfully integrate asynchronous and synchronous designs, great care must be taken at the interface between the two types of systems. Synchronizing asynchronous inputs with a free running clock can cause well-known problems with metastability in the synchronization circuits. Stretchable clocks allow a clock cycle to expand dynamically in response to the metastability effects of sampling asynchronous inputs. We use an interface organization where the special circuitry for detecting metastability and for stretching the clock that is delivered to the synchronous part of the system is encapsulated in a Q-flop-based interface. This provides a very convenient method for interfacing mixed systems, as the interface and clock generation circuitry are isolated into one special module, and neither the asynchronous nor the synchronous system need be modified internally to accommodate the interface. This is especially important when standard synchronous components are used as there is no opportunity to modify these parts. We show that this interface module is suitable for most mixed design needs and conclude with an example.

Josephson, Lueli↗