PARALLEL RANGE SEARCH ALGORITHM USING MULTIPLE ATTRIBUTE TREE.

Nageswara S.V. Rao, S. S. Iyengar, R. L. Kashyap

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A parallel algorithm is presented for the problem of range searches on a single-instruction multiple-data (SIMD) computing system with p processing elements. The linearized multiple attribute tree is used as the underlying data structure. The algorithm has complexity of O(kN/p), p less than equivalent to N, where k is the dimensionality and N is the number of points of the data space.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Parallel Processing
EditorsKai Hwang, Steven M. Jacobs, Earl E. Swartzlander
PublisherIEEE
Pages931-933
Number of pages3
ISBN (Print)0818607246
StatePublished - 1986
Externally publishedYes

Publication series

NameProceedings of the International Conference on Parallel Processing
ISSN (Print)0190-3918

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