| (architecture) | Cellular Neural Network - (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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