A relational model of data for large shared data banks
Communications of the ACM
The architecture of CASSM: A cellular system for non-numeric processing
ISCA '73 Proceedings of the 1st annual symposium on Computer architecture
Symbol manipulation with an associative memory
ACM '61 Proceedings of the 1961 16th ACM national meeting
Retrieval operations and data representations in a context-addressed disc system
SIGPLAN '73 Proceedings of the 1973 meeting on Programming languages and information retrieval
A relational database machine organization for parallel pipelined query execution
ACM '86 Proceedings of 1986 ACM Fall joint computer conference
Magnetic Bubble Memory Architectures for Supporting Associative Searching of Relational Databases
IEEE Transactions on Computers
Database Computers A Step Towards Data Utilities
IEEE Transactions on Computers
Proceedings of the 2nd international conference on Ubiquitous information management and communication
Clustera: an integrated computation and data management system
Proceedings of the VLDB Endowment
Sorting with associative secondary storage devices
AFIPS '77 Proceedings of the June 13-16, 1977, national computer conference
A virtual memory system for a relational associative processor
AFIPS '76 Proceedings of the June 7-10, 1976, national computer conference and exposition
AFIPS '83 Proceedings of the May 16-19, 1983, national computer conference
Exploiting parallelism for the performance enhancement of non-numeric applications
AFIPS '82 Proceedings of the June 7-10, 1982, national computer conference
An overview of recent data base research
ACM SIGMIS Database
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This paper describes an on-going National Science Foundation sponsored project on the design and implementation of an associative memory system for handling large data base information storage and retrieval. The system uses a Clontext Addressed Segment Sequential Memory (CASSM) implemented on a head-per-track disc and an array of non-numeric microprocessors for processing data in parallel and in an associative manner. It provides hardware support to carry out Boolean searches, data base collection, and the execution of high-level data processing functions. It also contains facilities for processing data represented in several data models. The content and context addressing and parallel processing capabilities of CASSM offer potential solutions to several large data base problems. In this paper, the application view of CASSM is emphasized.