Grid computing systems that have been the focus of much research activities in recent years provide a virtual framework for controlled sharing of resources across institutional bo...
Although grid computing offers great potential for executing large-scale bioinformatics applications, practical deployment is constrained by legacy interfaces. Most widely deployed...
Grid computing is a newly developed technology for complex systems with large-scale resource sharing and multi-institutional collaboration. The prominent feature of grid computing...
Ensemble Kalman Filter (EnKF) uses a randomized ensemble of subsurface models for error and uncertainty estimation. However, the complexity of geological models and the requiremen...
Xin Li, Zhou Lei, Christopher D. White, Gabrielle ...
Computational grids hold great promise in utilizing geographically separated heterogeneous resources to solve large-scale complex scientific problems. However, a number of major ...