Abstract— The use of many distributed, heterogeneous resources as a large collective platform offers great potential. A key issue for these grid platforms is middleware scalabili...
Abstract—Grids can efficiently deal with challenging computational and data processing tasks which cutting edge science is generating today. So-called e-Science grids cope with ...
Chris Develder, Jens Buysse, Ali Shaikh, Brigitte ...
In this paper, we cast discriminative training problems into standard linear programming (LP) optimization. Besides being convex and having globally optimal solution(s), LP progra...
Commercial enterprise data warehouses are typically implemented on parallel databases due to the inherent scalability and performance limitation of a serial architecture. Queries ...
Wook-Shin Han, Jack Ng, Volker Markl, Holger Kache...
Efficient algorithms for collision-free energy sub-optimal path planning for formations of spacecraft flying in deep space are presented. The idea is to introduce a set of way-poi...