Parallel Computation of Eigenvalues of Real Matrices
David J. Kuck, Ahmed Sameh · Defense Technical Information Center (DTIC) · 1971
The paper describes the implementation of three standard matrix eigenvalue computation methods on an array machine with high efficiency. A brief description of the ILLIAC 4 computer is provided as background material. Three major sections follow--the first two describe Jacobi and Householder algorithms for real symmetric matrices, and the third describes the QR algorithm for real nonsymmetric matrices.