This paper presents a design for a software development environment (SDE) for implementing vision systems applications on multiprocessors. The SDE design exploits characteristics of vision systems, and uses a classification scheme for vision algorithms to develop a parallelization and performance evaluation tool. These tools use databases that store knowledge of parallelization for different known computations on common architectures. The parallelization and performance evaluation tools use this knowledge to guide a user interactively parallelize algorithms. Some parts of SDE are currently operational and others still need to be developed.
|Original language||English (US)|
|Number of pages||14|
|Journal||Proceedings of SPIE - The International Society for Optical Engineering|
|State||Published - Jan 1 1991|
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Condensed Matter Physics