We present a new approach to preconditioning for very large, sparse, non-symmetric, linear systems. We explicitly compute an approximate inverse to our original matrix that can be...
Scalable parallel computers with TFLOPS (Trillion FLoating Point Operations Per Second) performance levels are now under construction. While we believe TFLOPS processor technology...
We will present a matrix framework for the conjugate gradient methods, which is expressed in terms of whole vector sequences instead of single vectors or initial parts of sequence...
Eduardo F. D'Azevedo, Victor Eijkhout, Charles H. ...
Financial modeling represents a promising industry application of high performance computing. In previous work, parallel stock option pricing models were developed for the Connect...
The dense nonsymmetric eigenproblem is one of the hardest linear algebra problems to solvee ectively on massivelyparallel machines. Rather than trying to design a black box" ...
Wide area computer networks have become a basic part of today's computing infrastructure. These networks connect a variety of machines, presenting an enormous computing resou...
Adam Beguelin, Jack Dongarra, Al Geist, Robert Man...