Many large -scale spatial data analysis problems involve an investigation of relationships in heterogeneous databases. In such situations, instead of making predictions uniformly a...
Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Ob...
Basic exploration of diffusion equation solvers in distributed computing systems has been a very important issue for computational fluid dynamics (CFD). This paper presents a funda...
Jun Ni, Lili Huang, Tao He, Yongxiang Zhang, Shaow...
We have implemented a set of computational physics codes on a network of IBM RS/6000 workstations used as a distributed parallel computer. We compare the performance of the codes ...
Abstract. Distributed computing is a means to overcome the limitations of single computing systems. In this paper we describe how clusters of heterogeneous supercomputers can be us...
Edgar Gabriel, Michael M. Resch, Thomas Beisel, Ra...
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...