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）：Moshe Vardi；艾伦，genevera；布拉德肖，斯蒂芬；卡拉基，莉迪亚； Veeraraghavan，Ashokinstitution：Rice Universitytitle：MRI/ACQ。：Big-Data私人云研究网络基础设施（BDPC）项目提出了提出的：该项目，购买了一种新型的网络基础仪器，用于大数据云计算，该云计算是一种宽松的计算系统，可用于大型记忆需求，以构建大量的计算范围，并促进了一定的范围。领域科学的范围从跨越基本计算机科学工作的大数据启用软件技术的开发到对电子病历，Twitter流和飓风疏散策略的分析。在理解疾病和治疗治疗方面，以及在机器学习，优化，压缩感应，图像处理以及统计分析和数据挖掘领域的发展和应用方面，预计还需要其他好处。该工具还将有助于弥合数字模型与天体物理学的观察之间的差距。BRODER的影响：对社会，尤其是在教育和培训中的更广泛影响（包括代表人数不足的群体）都令人信服。该仪器将直接影响所有参加计算和计算问题解决课程的学生的教育经验。有针对性的研究社区各不相同，包括代表性不足的群体，具有强大的经验和实验组成部分。提出的工具非常适合培训和教育。