Efficient Parallel Information Filtering
Rowe_Efficient_Parallel_Information_Filtering.pdf (1.461Mb)Date
1996-06Metadata
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Opportunities frequently arise in command and control for identical information filtering operations to be performed on data items geographicallyorchronologicallydispersed. For instance, in monitoring a frontier we may be looking for suspicious activity anywhere along it; or in analyzing a sonar log, we may be interested inanytransitsofaparticulartype. Whenmultiple processors are available, data parallelism (where each processor works on different data) is the obvious way to improve efficiency of such informationfiltering. Thegeographically dispersed or chronologically allocated processors can report to a central summarizing processor or set of processors.
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Proceedings of the 1996 Command and Control Research and Technology Symposium: Command and Control in the Information Age
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
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