Computational grids have not scaled effectively due to administrative hurdles to resource and user participation. Most production grids are essentially multi-site supercomputer ce...
Weishuai Yang, Nael B. Abu-Ghazaleh, Michael J. Le...
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 ...