Interconnection networks for large-scale parallel processing: theory and case studies
Interconnection networks for large-scale parallel processing: theory and case studies
Parallel QR Decomposition of a rectangular matrix
Numerische Mathematik
Implementation of some concurrent algorithms for matrix factorization
Parallel Computing
ACM Transactions on Mathematical Software (TOMS)
The symmetric eigenvalue problem
The symmetric eigenvalue problem
ACM Transactions on Programming Languages and Systems (TOPLAS)
Parallel Algorithms and Matrix Computation
Parallel Algorithms and Matrix Computation
Introduction to Numerical Methods for Parallel Computers
Introduction to Numerical Methods for Parallel Computers
Computer Architecture and Parallel Processing
Computer Architecture and Parallel Processing
Introduction to VLSI Systems
A class of novel parallel algorithms for the solution of tridiagonal systems
Parallel Computing
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We present a parallel algorithm for finding the Cholesky decomposition of a symmetric positive definite matrix of order n, in O(log^2n) time using p = n^3/log^2n processors. This algorithm can be used in order to find the QR factorization of a full rank matrix in M(m x n), m = n. Alternatively, we give a more direct parallel algorithm of O(log n log m) time using p = m x n^2/(log n log m) processors.