An Approach to Reliable Parallel Data Processing,

Abstract

Modern acquisition techniques produce high volume data sets that must be processed not only very quickly, but also reliably. The computational speed requirements can be achieved only through the use of either faster processing algorithms, or computational components with improved performance, or parallelism. The likelihood of further major advances in regard to the first two options is small. Therefore, the only realistic means for achieving high throughput is the use of parallelism.

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1983
Accession Number
ADP002619

Entities

People

  • G. G. L. Meyer
  • H. L. Weinert

Organizations

  • Johns Hopkins University

Tags

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • California
  • Data Processing
  • Data Sets
  • Large Scale Integration
  • Signal Processing
  • Throughput
  • Universities
  • Very Large Scale Integration
  • Workshops

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
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  • Radio communications and signal processing.