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

该项目支持对已经位于PI的现有高性能集群（HPC）进行存储系统增强。以满足参与机构及其他机构不断增长的输入/输出和数据密集型计算需求。虽然在多个机构之间共享物理资源显然具有成本效益，但数据和隐私保护一直是一个阻碍大规模合作资源共享的问题。在远程机构部署多tb的数据存储系统，实现研究数据的快速迁移，实现无缝计算，同时最大限度地保护远程站点的数据。该系统允许研究合作者将实时数据流式传输到HPC；从而支持远程HPC设备以满足其计算需求。如果成功，时间敏感的应用程序，如灾难响应/应急准备系统，可以以特别的方式执行。网络化的高性能计算基础设施提供了对该州仍然不受支持的地区的最佳访问；从而支持更广泛的科学和工程社区的需求。获得的系统将使合作研究包括：-使用社交网络分析的数据挖掘，预测和数据分析框架；-高分子材料结构-性能关系的蒙特卡罗/数据挖掘混合模型；-生物医学图像处理（治疗计划/肿瘤检测/人类唾液全基因组高通量SNP分析）；-神经元与配体、神经递质和纳米材料相互作用的电生理信号的检测和分析；-分析与地震有关的土壤条件和地面运动

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