Parallel algorithms for image processing on OMC

The author studies a class of VLSI organizations with optical interconnects for fast solutions to several image processing tasks. The organization and operation of these architectures are based on a generic model called OMC, which is used to understand the computational limits in using free space optics in VLSI parallel processing systems. The relationships between OMC and shared memory models are discussed. Also, three physical implementations of OMC are presented. Using OMC, several parallel algorithms for fine grain image computing are presented. A set of processor efficient optimal O(log N) algorithms and a set of constant time algorithms are presented for finding geometric properties of digitized images. Finally, designs tailored to meet both the computation and communication needs of problems such as those involving irregular sparse matrices are examined