Abstract
Much effort has been expended on developing special architectures dedicated to the efficient execution of production systems. While data-flow principles of execution offer the promise of high programmability for numerical computations, it is shown that data-driven principles can also be applied to symbolic computations. In particular, a mapping of the Rete match algorithm on the MIT tagged token data-flow architecture is considered as a benchmark. The results of a deterministic simulation of this multiprocessor architecture demonstrate that artificial intelligence production systems can be efficiently mapped on data-driven architectures.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 256-260 |
| Number of pages | 5 |
| Journal | Proceedings of the International Conference on Parallel Processing |
| Volume | 1 |
| State | Published - 1988 |
| Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Hardware and Architecture