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2009

The University of Maine

Research instrumentation

Articles 1 - 2 of 2

Full-Text Articles in Physical Sciences and Mathematics

Mri: Acquisition Of A High Performance Cluster For The University Of Maine Scientific Grid Portal, Phillip M. Dickens, Yifeng Zhu, Bruce E. Segee, James L. Fastook, Sudarshan S. Chawathe Dec 2009

Mri: Acquisition Of A High Performance Cluster For The University Of Maine Scientific Grid Portal, Phillip M. Dickens, Yifeng Zhu, Bruce E. Segee, James L. Fastook, Sudarshan S. Chawathe

University of Maine Office of Research Administration: Grant Reports

This project, acquiring a cluster to establish a scientific grid portal in Maine, aims to enable projects requiring large datasets. The work makes available to the wider community results such as widely-used whole-ice sheet models, tools for climate change research, prototype versions of object-based caching system (bundled with MPI-IO implementation developed at Argonne National Lab), the data management system, real-time animations, videos, etc. Additionally, the portal provides the larger community the compute power, storage capacity, and rendering engine to execute very high-resolution models, and receive animations and other visualized information in real time.

Broader Impact: The infrastructure enhances understanding of …


Mri: Acquisition Of Interactive Visualization Tools For Supercomputer Models, Bruce E. Segee, Huijie Xue, Kiran Bhaganagar, James Fastook, Peter O. Koons Nov 2009

Mri: Acquisition Of Interactive Visualization Tools For Supercomputer Models, Bruce E. Segee, Huijie Xue, Kiran Bhaganagar, James Fastook, Peter O. Koons

University of Maine Office of Research Administration: Grant Reports

This project, acquiring a visualization facility (vizwall with high resolution display and high volume storage system to visualize large size data generated from diverse research activities), models polar ice sheets, oceans, atmospheric turbulent boundary layers, and geodynamics. The facility, whose main components consist of a visualization wall, a PRISM visualization server, and RAID storage disks, will be integrated to the university's existing supercomputer cluster.