MRI: Acquistion of A Scalable Instrument for Discovery through Computing

MRI：获取可扩展的仪器，通过计算进行发现

• 批准号: 0821527
• 负责人: Padma Raghavan
• 金额: $ 125.55万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-07-01 至 2012-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0821527&HistoricalAwards=false
• 关键词: MRI; Acquistion; Scalable; Instrument; Discovery

Proposal #: CNS 08-21527PI(s): Raghavan, Padma Chen, Long-Quing; Hudson, Peter J.; Kandemir, Mahmut T.; Smith, Brian K.Institution: Pennsylvania State University University Park, PA 16802-700Title: MRI/Acq.: Acq.of A Scalable Instrument for Discovery through ComputingMRI Acquisition of a Scalable Instrument for Discovery through ComputingThis award from the Major Research Instrumentation Program (MRI)provides funds for the acquisition of a terascale advanced computinginstrument at the Pennsylvania State University. The instrumentwill enable researchers from seven disciplines (biological, materialsand social sciences, computer and information science, engineering,education, and geosciences), to perform virtual experiments towarddiscovery and design through computing. Research projects concern:predictive network modeling of infectious disease dynamics, designingnew piezoelectric materials, designing next-generation chipmultiprocessors, modeling human interactions to promote learningin virtual communities, and the development of a critical zoneenvironmental observatory. Despite their diversity, these projectsshare computational scalability challenges to be addressed forenabling scientific advances that often depend on solving largeproblems representing a sufficient level of detail and complexity.The instrument will form the core of a multidisciplinary collaborativeenvironment to enable transformative approaches to address thechallenges of scaling at multiple levels. It will support a set ofintegrated research, education, training, and outreach activitiesto: (i) enable collaborative scaling across projects through thetransfer of scaling approaches from one domain into another, whileaddressing algorithmic, system, or instrument scaling challengeswithin individual projects, (ii) promote technology-transfer throughindustrial partnerships, and (iii) grow and enhance the diversityof the limited computational science talent pool.

提案编号：CNS 08-21527PI(s)：Raghavan、Padma Chen、Long-Quing；哈德森，彼得·J.；坎德米尔，马赫穆特·T.； Smith, Brian K. 机构：宾夕法尼亚州立大学 University Park, PA 16802-700 标题：MRI/Acq.：Acq.of A Scalable Instrument for Discovery through ComparisonMRI 获取可扩展仪器，用于通过计算发现该奖项来自主要研究仪器计划 ( MRI）为宾夕法尼亚州立大学购买万亿级先进计算仪器提供资金。 该仪器将使来自七个学科（生物、材料和社会科学、计算机和信息科学、工程、教育和地球科学）的研究人员能够通过计算进行虚拟实验以发现和设计。 研究项目涉及：传染病动力学的预测网络建模、设计新型压电材料、设计下一代芯片多处理器、模拟人类互动以促进虚拟社区的学习以及关键区域环境观测站的开发。 尽管它们具有多样性，但这些项目都面临着需要解决的计算可扩展性挑战，以实现科学进步，而这些进步通常依赖于解决代表足够细节和复杂性的大问题。该仪器将构成多学科协作环境的核心，以实现变革性方法来解决扩展挑战多个级别。它将支持一系列综合研究、教育、培训和推广活动，以：（i）通过将扩展方法从一个领域转移到另一个领域来实现跨项目的协作扩展，同时解决单个项目中的算法、系统或仪器扩展挑战，（ii）通过产业伙伴关系促进技术转让，以及（iii）发展和增强有限的计算科学人才库的多样性。