Abstract
A Multiple Instruction Multiple Data (MIMD) parallel computing platform built upon a network of TMS320C40/44s (C40/C44) for real-time image processing of a hierarchical foveal machine vision (HFMV) system is described in this paper. The architecture of the system, the parallel algorithm development environment, and strategies to map tasks into the computing platform are described. The platform supports both static and dynamic computing resource allocation. The performance of the computing platform is illustrated by examples.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 720-725 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
| State | Published - 1996 |
| Externally published | Yes |
| Event | Proceedings of the 1996 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - San Francisco, CA, USA Duration: Jun 18 1996 → Jun 20 1996 |
All Science Journal Classification (ASJC) codes
- Software
- Computer Vision and Pattern Recognition