MRI: Acquisition of Big-Data Private-Cloud Research Cyberinfrastructure (BDPC)

MRI：收购大数据私有云研究网络基础设施 (BDPC)

• 批准号: 1338099
• 负责人: Moshe Vardi
• 金额: $ 40万
• 依托单位: William Marsh Rice University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-10-01 至 2016-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1338099&HistoricalAwards=false
• 关键词: MRI; Acquisition; Big; Data; Private

Proposal #: 13-38099PI(s): Vardi, Moshe; Allen, Genevera; Bradshaw, Stephen; Karaki, Lydia; Veeraraghavan, AshokInstitution: Rice UniversityTitle: MRI/Acq.: Big-Data Private Cloud Research Cyberinfrastructure (BDPC) Project Proposed:This project, acquiring a novel cyber-infrastructure instrument for big data cloud computing designed as a loosely coupled computations system with large memory requirements, enables a significant range of application domains as well as research into infrastructures for cloud computing. The domain sciences addressed range from development of big-data enabling software technologies spanning fundamental computer science work, to the analysis of electronic medical records, twitter streams, and hurricane evacuation strategies. Additional benefits are expected in understanding disease and therapeutic treatments, and in the development and application of mathematical models in the areas of machine learning, optimization, compressed sensing, image processing, and statistical analysis and data mining. The instrument will also help bridge the gap between numerical models and observations in astrophysics.Broader Impacts: The broader impacts on society, and especially in education and training (including for members of underrepresented groups) are all compelling. The instrument will directly impact the educational experience for all students taking classes in computing and computational problem solving. The targeted research communities are diverse and broad, including the underrepresented groups, with strong empirical and experimental components. The proposed instrument is highly suitable for training and education.

提案#:13-38099PI(s): Vardi, Moshe；艾伦,Genevera;斯蒂芬·布拉德肖;卡拉奇,丽迪雅;Veeraraghavan， AshokInstitution: Rice university头衔：MRI/Acq。大数据私有云研究网络基础设施（BDPC）项目建议：该项目为大数据云计算获取一种新型网络基础设施工具，设计为具有大内存需求的松耦合计算系统，使云计算的应用领域和基础设施研究成为可能。涉及的领域科学范围从跨越基础计算机科学工作的大数据支持软件技术的开发，到电子医疗记录、twitter流和飓风疏散策略的分析。在理解疾病和治疗方法方面，以及在机器学习、优化、压缩感知、图像处理、统计分析和数据挖掘等领域的数学模型的开发和应用方面，预计会有额外的好处。该仪器还将有助于弥合数值模型和天体物理学观测之间的差距。更广泛的影响：对社会的更广泛的影响，特别是在教育和培训方面（包括对代表性不足的群体的成员）都是引人注目的。该仪器将直接影响所有参加计算机和计算问题解决课程的学生的教育体验。目标研究群体是多样化和广泛的，包括代表性不足的群体，具有很强的经验和实验成分。该仪器非常适合于培训和教育。