A new stochastic clustering algorithm is introduced that aims to locate all the local minima of a multidimensional continuous and differentiable function inside a bounded domain. ...
—Current leadership-class machines suffer from a significant imbalance between their computational power and their I/O bandwidth. While Moore’s law ensures that the computatio...
Nawab Ali, Philip H. Carns, Kamil Iskra, Dries Kim...
The low cost of clusters built using commodity components has made it possible for many more users to purchase their own supercomputer. However, even modest-sized clusters make si...
This paper presents an integrated framework for assessment and ranking of manufacturing systems based on management and organizational performance indicators. The integrated appro...
Ali Azadeh, S. F. Ghaderi, Y. Partovi Miran, V. Eb...
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...