CAM/sup 2/: a highly-parallel two-dimensional cellular automaton architecture
Takeshi Ikenaga, T. Ogura · IEEE Transactions on Computers · 1998
Cellular automaton (CA) is a promising computer paradigm that can break through the von Neumann bottleneck. Two-dimensional CA is especially suitable for application to pixel-level image processing. Although various architectures have been proposed for processing two-dimensional CA, there are no compact, practical computers. So, in spite of its great potential, CA is not widely used: This paper proposes a highly-parallel two-dimensional cellular automaton architecture called CAM/sup 2/ and presents some evaluation results. CAM/sup 2/ can attain pixel-order parallelism on a single board because it is composed of a CAM, which makes it possible to embed an enormous number processing elements (PEs), corresponding to CA cells, onto one VLSI chip. Multiple-zigzag mapping and dedicated CAM functions enable high-performance CA processing. The performance evaluation results show that 256 k CA cells, which correspond to a 512/spl times/512 picture, can be processed by a CAM/sup 2/ on a single board using deep submicron process technology. The processing speed is more than 10 billion CA cell updates per second. This means that more than a thousand CA-based image processing operations can be done on a 512/spl times/512 pixel image at video rates (33 msec). CAM/sup 2/ will widen the potentiality of CA and make a significant contribution to the development of compact and high-performance systems.