A large number of bioinformatics analysis tools available today are processor intensive. Keeping in mind that the amount of biological data to be analyzed is growing steadily, and...
Hierarchical clustering methods are important in many data mining and pattern recognition tasks. In this paper we present an efficient coarse grained parallel algorithm for Single...
Many of the key features of file transfer mechanisms like reliable file transferring and parallel transferring are developed as part of the service. It makes very hard to re-use th...
Sang Boem Lim, Geoffrey Fox, Ali Kaplan, Shrideep ...
Abstract. In this paper we report on our experiences with hybrid parallelism in PARDISO, a high-performance sparse linear solver. We start with the OpenMP-parallel numerical factor...
Abstract. We describe a consistent splitting approach to the pressurestabilized Petrov-Galerkin finite element method for incompressible flow. The splitting leads to (almost) exp...