High Performance Hardware for Database Systems
Systems for Large Data Bases
Architectural features of CASSM: A Context Addressed Segment Sequential Memory
ISCA '78 Proceedings of the 5th annual symposium on Computer architecture
Some implementations of segment sequential functions
ISCA '76 Proceedings of the 3rd annual symposium on Computer architecture
A Self Managing Secondary Memory system
ISCA '76 Proceedings of the 3rd annual symposium on Computer architecture
Data physics - an unorthodox view of data and its implications in data processors
CAW '78 Proceedings of the fourth workshop on Computer architecture for non-numeric processing
A multiprocessing system for the direct execution of LISP
CAW '78 Proceedings of the fourth workshop on Computer architecture for non-numeric processing
Coordinating concurrent access in a distributed database architecture
CAW '78 Proceedings of the fourth workshop on Computer architecture for non-numeric processing
On imaginary fields, token transfers and floating codes in intelligent secondary memories
CAW '77 Proceedings of the 3rd workshop on Computer architecture : Non-numeric processing
Synchronized Disk Interleaving
IEEE Transactions on Computers
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In order to apply Artificial Intelligence techniques like inferencing to large (109-1012 bit) data bases, an intelligent secondary memory is proposed that is capable of extracting a subgraph from a graph stored in it for further processing in a conventional or special purpose computer. The “pointer transfer” technique developed for CASSM is used to efficiently mark and output a subgraph stored in one file, and a simple technique is proposed to link parts of the subgraph stored on different files. Besides proposing a useful secondary memory system for applying Artificial Intelligence techniques to large data bases, this paper attacks one of the most difficult problems in distributed data base systems, which is the generation of “homomorphic query fragments” that automatically carry the query from one file to other files needed to resolve the query.