Data-flow algorithms for parallel matrix computation
Communications of the ACM
Modified cyclic algorithms for solving triangular systems on distributed-memory multiprocessors
SIAM Journal on Scientific and Statistical Computing
A new method for solving triangular systems on distributed-memory message-passing multiprocessors
SIAM Journal on Scientific and Statistical Computing
Numerical solution of the discrete-time, convergent, non-negative definite Lyapunov equation
Systems & Control Letters
The Journal of Supercomputing
Solution of the matrix equation AX + XB = C [F4]
Communications of the ACM
Block variants of Hammarling's method for solving Lyapunov equations
ACM Transactions on Mathematical Software (TOMS)
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In this paper, we describe new parallel cyclic wavefront algorithms for solving the semidefinite discrete-time Lyapunov equation for the Cholesky factor using Hammarling's method by the message passing paradigm. These algorithms are based on previous cyclic and modified cyclic algorithms designed for the parallel solution of triangular linear systems. The experimental results obtained on an SGI Power Challenge show a high performance for large scale problems and better scalability than previous wavefront algorithms for solving these equations.