CRI: II-EN: Stream Computing for Research and Education in Science and Engineering

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This project supports the storage system enhancement to an existing high performance cluster (HPC) already located at PI?s institution to address continuously increasing I/O and data intensive computing need among the participating institutions and beyond. While sharing physical resources among multiple institutions is clearly cost-effective, protection of data and privacy is an ongoing concern that inhibits large-scale cooperative resource sharing. The multi-terabyte data storage system deployment at a remote institution with multi-gigabit connections achieves fast migration of research data for seamless computing while achieving maximum protection of the data at the remote site. The system allows research collaborators to stream real-time data to the HPC; thereby supporting remote HPC facilities for their computational needs. When successful, time-sensitive applications such as disaster response / emergency preparedness systems can be executed in an ad-hoc manner. The networked HPC infrastructure provides optimal access to areas of the state that remain less supported; thereby supporting the needs of the broader science and engineering communities. The acquired system will enable collaborative research including the following:- Data-Mining, Prediction and Data Analysis Frameworks Using Social NetworkAnalysis;- Hybrid Monte-Carlo/Data-Mining Modeling of the Structure-Property Relations ofPolymeric Materials;- Biomedical Image Processing (Treatment Planning/Tumor Detection/Genome wide high throughput SNP analysis of Human Spit);- Detection and Analyses of Electrophysiological Signals from Neurons Interactingwith Ligands, Neurotransmitters and Nano Materials;- Analysis of Soil conditions and Ground Motions for Earth Quake Related Applications