Title :
A sliding memory array processor for low level vision
Author :
Sunwoo, M.H. ; Aggarwal, J.K.
Author_Institution :
Comput. & Vision Res. Center, Texas Univ., Austin, TX, USA
Abstract :
A mesh-connected architecture, called a Sliding Memory Plane (SliM) array processor, for low-level vision tasks is described. SliM alleviates several disadvantages of existing mesh-connected architectures. It is a fine-grained massively parallel single-instruction multiple-data architecture. The inter-PE communication can occur without interrupting PEs. Two I/O planes can provide a buffering capability. The communication and I/O overheads can each be overlapped with the computation, and both are therefore greatly diminished. Bit-serial communication and bit-parallel computation are used. Various types of communication and virtual interconnections for communication between diagonal-direction PEs are provided. Each PE can operate separately, based on some degree of local autonomy. SliM shows thorough applicability with these configurations. Parallel algorithms for low-level vision tasks on SliM having a zero or an O(1) communication complexity are proposed. The performance of SliM is illustrated with several examples of low-level computer vision tasks
Keywords :
computer vision; parallel algorithms; parallel architectures; SIMD; SliM; bit serial communication; bit-parallel computation; computer vision; low level vision; mesh-connected architecture; parallel algorithm; parallel architectures; sliding memory array processor; Computer architecture; Computer vision; Concurrent computing; Degradation; Digital audio players; Head; Hypercubes; Logic circuits; Parallel algorithms; Topology;
Conference_Titel :
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location :
Atlantic City, NJ
Print_ISBN :
0-8186-2062-5
DOI :
10.1109/ICPR.1990.119375