The Coarse-Grained Monte Carlo (CGMC) method is a multi-scale stochastic mathematical and simulation framework for spatially distributed systems. CGMC simulations are important too...
Lifan Xu, Michela Taufer, Stuart Collins, Dionisio...
This paper presents a parallel version of CLUSTAL W, called pCLUSTAL. In contrast to the commercial SGI parallel Clustal, which requires an expensive shared memory SGI multiprocess...
James Cheetham, Frank K. H. A. Dehne, Sylvain Pitr...
The trajectory pattern mining problem has recently attracted increasing attention. This paper precisely addresses the parallel mining problem of trajectory patterns as well as the...
Abstract Parallel asynchronous iterative algorithms relax synchronization and communication requirements, and can potentially extend Desktop Grids beyond embarrassingly parallel ap...
Server storage systems use a large number of disks to achieve high performance, thereby consuming a significant amount of power. In this paper, we propose to significantly reduc...
Sriram Sankar, Sudhanva Gurumurthi, Mircea R. Stan