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Full-Text Articles in Physical Sciences and Mathematics
Hec: Collaborative Research: Sam^2 Toolkit: Scalable And Adaptive Metadata Management For High-End Computing, Yifeng Zhu
Hec: Collaborative Research: Sam^2 Toolkit: Scalable And Adaptive Metadata Management For High-End Computing, Yifeng Zhu
University of Maine Office of Research Administration: Grant Reports
The increasing demand for Exa-byte-scale storage capacity by high end computing applications requires a higher level of scalability and dependability than that provided by current file and storage systems. The proposal deals with file systems research for metadata management of scalable cluster-based parallel and distributed file storage systems in the HEC environment. It aims to develop a scalable and adaptive metadata management (SAM2) toolkit to extend features of and fully leverage the peak performance promised by state-of-the-art cluster-based parallel and distributed file storage systems used by the high performance computing community. There is a large body of research on data …
Itr: A Computational Framework For Observational Science: Data Assimilation Methods And Their Application For Understanding North Atlantic Zooplankton Dynamics, Andrew J. Pershing
Itr: A Computational Framework For Observational Science: Data Assimilation Methods And Their Application For Understanding North Atlantic Zooplankton Dynamics, Andrew J. Pershing
University of Maine Office of Research Administration: Grant Reports
This project will develop a modular data assimilation system, investigate several algorithms to make data assimilation more efficient, and will apply this system to investigate zooplankton dynamics in the North Atlantic. The goal of data assimilation is to find the value of the control variables (typically, the initial conditions or boundary conditions or model parameters) producing the best agreement between the model and the data. A data assimilation system consists of a forward model representing known dynamics. This model is integrated and the deviation between its predictions and available observations are quantified by a cost function. An adjoint model, representing …