Abstract
A very-fine-grained architecture which can solve certain two-dimensional machine vision problems very efficiently is discussed. The architecture maintains both a high degree of flexibility and fine-grainness. This is done by reducing each processor to an associative memory cell. However, unlike classical associative memory processors, the present processor uses a two-dimensional nearest-neighbor interconnect. Arithmetic operations are based on the use of a redundant number system and a physically compact memory word structure. These features provide a high level of performance.
Original language | English (US) |
---|---|
Pages (from-to) | 945-948 |
Number of pages | 4 |
Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
Volume | 2 |
State | Published - 1990 |
Event | 1990 International Conference on Acoustics, Speech, and Signal Processing: Speech Processing 2, VLSI, Audio and Electroacoustics Part 2 (of 5) - Albuquerque, New Mexico, USA Duration: Apr 3 1990 → Apr 6 1990 |
All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Electrical and Electronic Engineering