This paper considers a few variants of Krylov subspace techniques for solvi
ng linear systems on parallel computers. The goal of these variants is to a
void global dot-products which hamper parallelism in this class of methods.
They are based on replacing the standard Euclidean inner product with a di
screte inner product over polynomials. The set of knots for the discrete in
ner product is obtained by estimating eigenvalues of the coefficient matrix
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