MRI Consortium: Acquisition of a Heterogeneous, Shared, Computing Instrument to Enable Science and Computing Research by the Mass. Green High Performance Computing Consortium

MRI 联盟：收购异构、共享计算仪器，以支持马萨诸塞州的科学和计算研究。绿色高性能计算联盟

• 批准号: 1229059
• 负责人: Christopher Hill
• 金额: $ 162.28万
• 依托单位: University of Massachusetts Donahue Institute
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-10-01 至 2015-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1229059&HistoricalAwards=false
• 关键词: MRI; Consortium; Acquisition; Heterogeneous; Shared; MRI; Consortium; Acquisition; Heterogeneous; Shared

This work includes a consortium acquisition of a shared high-performance computing (HPC) instrument emphasizing HPC-based science and engineering with the benefit of "on-demand" capabilities. The instrument is a hybrid platform, integrating a state-of-the-art cluster computer with forward-looking, potentially exascale-oriented, GPU accelerator hardware that will enable progress in key STEM applications across a consortium of higher-educational partners with a research agenda that spans science disciplines. The system?s high levels of responsiveness will be applied to systems modeling and identification for immunology, interactive drug pathway analysis, bio-molecular electrostatics, virtual earth modeling and data analysis, multi-scale environment modeling, adaptive real-time model data synthesis, interactive virtualized materials design, and studying fundamental physics of matter. In computer science, researchers and industry collaborators will use the instrument as a controlled, configurable facility with an advanced user base and application workload, driving forward research into abstractions for next-generation HPC environments, enhanced virtualization methodologies for large-scale HPC, and quantitatively experimenting in cloud/service paradigms at scale for HPC. The acquisition will catalyze collaboration among scientists, engineers, computational science practitioners and computer scientists with research interests in- broadening the use of HPC for critical science and engineering problems- driving knowledge in earth science, life science, material science and basic physics- developing new, more engaging approaches to HPC- paving the way for a post-petascale HPC ecosystem spanning software to workforce skills- ere are extensive education and outreach activities planned to grow participation across institutional research communities as well as among local collaborators at community colleges, in K-12 education, and in community organizations. The instrument will contribute to cyberinfrastructure in multiple ways and will be a valuable part of a broader public-private partnership enhancing computational science infrastructure and catalyzing high-tech innovation.

这项工作包括对共享的高性能计算（HPC）仪器的联盟获取，强调基于HPC的科学和工程学，从而受益于“按需”功能。该仪器是一个混合平台，将最先进的集群计算机与前瞻性，潜在的面向外部的GPU加速器硬件集成在一起，该硬件将在高等教育合作伙伴的关键STEM应用程序中取得进展，并与研究议程相结合。该系统的高度响应能力将应用于免疫学，交互式药物途径分析，生物分子静电学，虚拟地球建模和数据分析，多规模环境建模，适应性实时模型数据合成，交互式虚拟材料设计以及重要的物质的基础物理学的系统建模和识别。在计算机科学领域，研究人员和行业合作者将使用该仪器作为具有高级用户基础和应用程序工作量的可控，可配置的设施，推动对下一代HPC环境的抽象进行前进研究，大规模HPC的虚拟化方法增强了，以及针对HPC的云/服务范式进行定量实验。 The acquisition will catalyze collaboration among scientists, engineers, computational science practitioners and computer scientists with research interests in- broadening the use of HPC for critical science and engineering problems- driving knowledge in earth science, life science, material science and basic physics- developing new, more engaging approaches to HPC- paving the way for a post-petascale HPC ecosystem spanning software to workforce skills- ere are extensive education and outreach activities planned在机构研究社区以及社区学院，K-12教育和社区组织中的本地合作者中发展参与。该工具将以多种方式为网络基础设施做出贡献，并将成为更广泛的公私合作伙伴关系增强计算科学基础架构和催化高科技创新的重要组成部分。