Ola Olu Daini*, Peter Scheuermann

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Numerical data bases arise in many scientific applications to keep track of large sparse and dense matrices. Unlike the many matrix data storage techniques available for incore manipulation, very large matrices are currently limited to a few compact storage schemes on secondary devices, due to the complex underlying data management facilities. This study proposes an approach for generalized numerical database management that would promote physical data independence by relieving users from the need for knowledge of the physical data organization on the secondary devices. The authors approach is to describe each of the storage techniques for dense and sparse matrices by a physical scheme, which encompasses the corresponding access path, the encoding to storage structures, and the file access method. A generalized facility for describing any kind of numerical database and its mapping to storage is provided via nonprocedural Stored-Data Description and Mapping Languages (SDDL and SDML).

Original languageEnglish (US)
Pages (from-to)418-432
Number of pages15
JournalProceedings of the Annual Conference of the Association for Computing Machinery
StatePublished - Jan 1 1980

ASJC Scopus subject areas

  • Engineering(all)

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