We address the problem of maximizing application speedup through runtime, self-selection of an appropriate number of processors on which to run. Automatic, runtime selection of pr...
This paper describes an implementation of parallel LU factorization. The focus is to achieve high performance on non-dedicated clusters, where the number of available computing re...
We investigate the parallel implementation of the diagonal{implicitly iterated Runge{ Kutta (DIIRK) method, an iteration method based on a predictor{corrector scheme. This method ...
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
We study how to efficiently schedule online perfectly malleable parallel jobs with arbitrary arrival times on m 2 processors. We take into account both the linear speedup of such...