Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Service-Centric Globally Distributed Computing
IEEE Internet Computing
Distributing MCell Simulations on the Grid
International Journal of High Performance Computing Applications
Latency tolerance through parallelization of time in scientific applications
Parallel Computing - Heterogeneous computing
A probabilistic scheduling heuristic for computational grids
Multiagent and Grid Systems
Future trends in distributed applications and problem-solving environments
Future Generation Computer Systems - Special section: Complex problem-solving environments for grid computing
Using Web services to integrate heterogeneous simulations in a grid environment
Future Generation Computer Systems
A grid-based bridging domain multiple-scale method for computational nanotechnology
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part III
Three-Dimensional cardiac electrical activity simulation on cluster and grid platforms
VECPAR'04 Proceedings of the 6th international conference on High Performance Computing for Computational Science
Enabling coupled scientific simulations on the grid
PARA'04 Proceedings of the 7th international conference on Applied Parallel Computing: state of the Art in Scientific Computing
Monte carlo valuation of multidimensional american options through grid computing
LSSC'05 Proceedings of the 5th international conference on Large-Scale Scientific Computing
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Grid computing may offer the potential for compute intensive simulations of systems and processes such as those associated with Computational Fluid Dynamics and protein design. Such potential is arguably difficult to realize due to some challenging issues associated with distributed computing systems; including latency, asynchronous communication, and the ubiquity of faults. Various research efforts have been focused on developing grid architectures and mechanisms to minimize the effect of latency and improve the fault-tolerance of resource management systems. In this respect, this paper describes a grid simulation platform geared towards the minimization of the effect of latency through an integration of the domain decomposition approach to process simulation with a chosen neighborhood-based grid architecture. The operation of the proposed platform is illustrated through an experimental simulation of a two dimensional diffusion process.