This paper presents design and experimental results of a parallel linear equation solver by asynchronous partial Gauss-Seidel method. The basic idea of this method is derived from ...
—Two strategies of distribution of computations can be used to implement parallel solvers for dense linear algebra problems for Heterogeneous Computational Clusters of Multicore ...
Parallel coordinates have been widely applied to visualize high-dimensional and multivariate data, discerning patterns within the data through visual clustering. However, the effe...
Hong Zhou, Xiaoru Yuan, Huamin Qu, Weiwei Cui, Bao...
—Algorithmic enhancements are described that enable large computational reduction in mean square-error data clustering. These improvements are incorporated into a parallel data-c...
In recent years the complexity of numerical computations in computational financial applications has been increased enormously. Monte Carlo algorithm is one of main tools in comput...