This project is in the implementation stage. Please feel free to offer feedback on this topic.

There are three high-performance computing and data resource needs that are expected to grow significantly both nationally and at Duke University in the near future. These areas are the analysis of very large databases, high performance (parallel) computation, and scientific visualization. Of course these three areas, which are collectively identified as High Performance Computing (HPC), are so intimately linked that they must be collectively supported. The costs for massive data storage and other related equipment are large enough and the network bandwidths available today are adequate to suggest sharing resources to support these needs for a variety of research groups on the Duke campus. We are therefore developing a model to provide partially centralized support for the computational and data storage needs of our efforts in bioinformatics and computational biology, neural analysis and neuroengineering, global climate change, geographic information systems, multi-scale modeling and in other areas as they arise.

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