Collaborative Research: REU Site: BigDataX: From theory to practice in Big Data computing at eXtreme scales

合作研究：REU 网站：BigDataX：极限规模大数据计算从理论到实践

• 批准号: 2150501
• 负责人: Kyle Chard
• 金额: $ 4.16万
• 依托单位: University of Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-15 至 2025-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2150501&HistoricalAwards=false
• 关键词: Collaborative; Research; REU; Site; BigDataX

This project extends the BigDataX program, a Research Experiences for Undergraduates (REU) site at Illinois Institute of Technology (IIT) and the University of Chicago (UChicago). The BigDataX REU site focuses on undergraduate research in both the theory and practice of big data computing at extreme scales. BigDataX includes a diverse group of 10 undergraduate students per year for three years, who will conduct research over a 10-week period in the area of big data and will address problems related to the design, analysis, and implementation of run-time systems and storage systems to support big data applications. The site aims to make extreme scale computing more tractable, touching every branch of computing in high-end computing and data centers. The research advancements will impact scientific discovery, and they will strengthen a wide range of research activities enabling efficient access, processing, storage, and sharing of valuable scientific data from many disciplines. The proposed research projects will place students in the middle of a technological revolution opening doors to many real-world applications. The PIs have a comprehensive and proven educational plan integrating undergraduate students with PhD students with incremental manageable goals, aimed at allowing students to achieve publishable results within the summer program. Furthermore, with an emphasis on recruiting from underrepresented populations, the site will improve the diversity of university faculty, researchers and practitioners in big data and distributed systems.The primary objective of the BigDataX REU site is to promote a data-centric view of scientific and technical computing, at the intersection of distributed systems theory and practice. The site includes six mentors, with complementary expertise from theory to systems, programming languages, distributed systems, storage management, and data science. The mentors have extensive experience in mentoring undergraduate students, collectively having worked with over one hundred undergraduate students in research activities, publishing dozens of peer-reviewed workshop, conference, and journal papers at top venues together with undergraduate students. The students that will be part of the BigDataX program will be exposed to big data applications, large data sets, and various distributed systems such as the Mystic reconfigurable testbed at IIT, Chameleon cloud and the Theta supercomputer (and the upcoming Aurora supercomputer) at Argonne National Laboratory, various NSF-sponsored high performance computing resources, and commercial clouds.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目扩展了BigDataX计划，这是伊利诺伊理工学院（IIT）和芝加哥大学（U芝加哥）的本科生研究经验（REU）网站。BigDataX REU网站专注于极端规模的大数据计算理论和实践的本科生研究。BigDataX每年包括10名本科生，为期三年，他们将在大数据领域进行为期10周的研究，并将解决与运行时系统和存储系统的设计，分析和实现相关的问题，以支持大数据应用程序。该网站旨在使极端规模计算更易于处理，触及高端计算和数据中心的每一个计算分支。这些研究进展将影响科学发现，并将加强广泛的研究活动，从而有效地访问、处理、存储和共享来自许多学科的有价值的科学数据。拟议的研究项目将使学生处于技术革命的中心，为许多现实世界的应用打开大门。PI有一个全面和成熟的教育计划，将本科生与博士生结合在一起，目标是让学生在夏季课程中取得可持续的成果。此外，该网站还将注重从代表性不足的人群中招聘人才，以提高大学教师、研究人员和大数据和分布式系统从业人员的多样性。BigDataX REU网站的主要目标是在分布式系统理论和实践的交叉点上，推广以数据为中心的科学和技术计算观点。该网站包括六位导师，他们具有从理论到系统、编程语言、分布式系统、存储管理和数据科学的互补专业知识。导师们在指导本科生方面有着丰富的经验，他们与100多名本科生一起参加了研究活动，与本科生一起在顶级场所发表了数十篇同行评议的研讨会，会议和期刊论文。BigDataX计划的学生将接触大数据应用程序，大型数据集和各种分布式系统，如IIT的Mystic可重新配置测试平台，Chameleon云和Theta超级计算机（以及即将推出的极光超级计算机）在阿贡国家实验室，各种NSF赞助的高性能计算资源，该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。