Cellular Neural Network
<architecture> (CNN) The CNN Universal Machine is a low cost, low power,
extremely high speed supercomputer on a chip. It is at least 1000 times faster
than equivalent DSP solutions of many complex image processing tasks. It is a
stored program supercomputer where a complex sequence of image processing
algorithms is programmed and downloaded into the chip, just like any digital
computer. Because the entire computer is integrated into a chip, no signal
leaves the chip until the image processing task is completed.
Although the CNN universal chip is based on analogue and logic operating
principles, it has an on-chip analog-to-digital input-output interface so that
at the system design and application perspective, it can be used as a digital
component, just like a DSP. In particular, a development system is available for
rapid design and prototyping. Moreover, a compiler, an operating system, and a
user-friendly CNN high-level language, like the C language, have been developed
which makes it easy to implement any image processing algorithm.
[Professor Leon Chua, University of California at Berkeley].
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