A Processor for Two-Dimensional Symmetric Eigenvalue and Singular Value Arrays.

Abstract

A dedicated processor architecture is here introduced for multiprocessor array implementations of Jacobi methods. This new processing element factors arbitrary rotations into products of elementary rotations whose angles are exactly twice the CORDIC elementary angles. This characteristic permits complete concurrency between the evaluation of the Jacobi rotations and their application. Thus the processors in the resulting arrays are almost never idle. Keywords: Symmetric eigenvalues, Singular value decomposition, Signal processing.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1987
Accession Number
ADA181612

Entities

People

  • Jean-marc Delosme

Organizations

  • Yale University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Arrays
  • Coding
  • Computations
  • Computer Science
  • Decomposition
  • Direction Finding
  • Efficiency
  • Eigenvalues
  • Equations
  • Iterations
  • Parallel Computing
  • Rotation
  • Sequences
  • Signal Processing
  • Test And Evaluation
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Astronomy and Astrophysics.
  • Calculus or Mathematical Analysis
  • Parallel and Distributed Computing.