The machines featured throughout this text are designed to support information systems ranging from relational databases to semantic networks and other artificial intelligence paradigms. In addition, many of the projects illustrated in the book contain generic architectural ideas that support higher–level requirements and are based on semantics–free hardware designs.
- Database Machines
- Using Massively Parallel General Computing Platforms for DBMS
- Knowledge–Base Machines
- Artificial Intelligence Machines
2. IDIOMS: A Multitransputer Database Machine (J. Kerridge).
3. From DBC to MDBS A Progression in Database Machine Research (D. Hsiao & W. Wang).
4. Rinda: A Relational Database Processor for Large Databases (T. Satoh & U. Inoue).
5. A Paginated Set–Associate Architecture for Databases (P. Faudemay).
6. Parallel Multi–Wavefront Algorithms for Pattern–Based Processing of Object–Oriented Databases (S. Su, et al.).
7. The Datacycle Architecture: A Database Broadcast System (T. Bowen, et al.).
USING MASSIVELY–PARALLEL GENERAL COMPUTING PLATFORMS FOR DBMS.
8. Industrial Database Supercomputer Exegesis: The DBC/1012, The NCR 3700, The Ynet, and The Bynet (F. Cariño, et al.).
9. A Massively Parallel Indexing Engine Using DAP (N. Bond & S. Reddaway).
10. The IFS/2: Add–on Support for Knowledge–Base Systems (S. Lavington).
11. EDS: An Advanced Parallel Database Server (L. Borrmann, et al.).
12. A Parallel and Distributed Environment for Database Rule Processing: Open Problems and Future Directions (S. Stolfo, et al.).
ARTIFICIAL INTELLIGENCE MACHINES.
13. IXM2: A Parallel Associative Processor for Knowledge Processing (T. Higuchi).
14. An Overview of the Knowledge Crunching Machine (J Noyé).