Pilot Study for a Cyberinfrastructure Center of Excellence

网络基础设施卓越中心试点研究

• 批准号: 1842042
• 负责人: Ewa Deelman
• 金额: $ 300万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1842042&HistoricalAwards=false
• 关键词: Pilot; Study; Cyberinfrastructure; Center; Excellence

NSF's major multi-user research facilities (large facilities) are sophisticated research instruments and platforms - such as large telescopes, interferometers and distributed sensor arrays - that serve diverse scientific disciplines from astronomy and physics to geoscience and biological science. Large facilities are increasingly dependent on advanced cyberinfrastructure (CI) - computing, data and software systems, networking, and associated human capital - to enable broad delivery and analysis of facility-generated data. As a result of these cyber infrastructure tools, scientists and the public gain new insights into fundamental questions about the structure and history of the universe, the world we live in today, and how our plants and animals may change in the coming decades. The goal of this pilot project is to develop a model for a Cyberinfrastructure Center of Excellence (CI CoE) that facilitates community building and sharing and applies knowledge of best practices and innovative solutions for facility CI.The pilot project will explore how such a center would facilitate CI improvements for existing facilities and for the design of new facilities that exploit advanced CI architecture designs and leverage establish tools and solutions. The pilot project will also catalyze a key function of an eventual CI CoE - to provide a forum for exchange of experience and knowledge among CI experts. The project will also gather best practices for large facilities, with the aim of enhancing individual facility CI efforts in the broader CI context. The discussion forum and planning effort for a future CI CoE will also address training and workforce development by expanding the pool of skilled facility CI experts and forging career paths for CI professionals. The result of this work will be a strategic plan for a CI CoE that will be evaluated and refined through community interactions: workshops and direct engagement with the facilities and the broader CI community. This project is being supported by the Office of Advanced Cyberinfrastructure in the Directorate for Computer and Information Science and Engineering and the Division of Emerging Frontiers in the Directorate for Biological Sciences.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.

NSF 的主要多用户研究设施（大型设施）是先进的研究仪器和平台，例如大型望远镜、干涉仪和分布式传感器阵列，服务于从天文学和物理学到地球科学和生物科学的不同科学学科。大型设施越来越依赖先进的网络基础设施（CI）——计算、数据和软件系统、网络以及相关的人力资本——以实现设施生成的数据的广泛交付和分析。借助这些网络基础设施工具，科学家和公众对宇宙的结构和历史、我们今天生活的世界以及我们的植物和动物在未来几十年可能如何变化等基本问题有了新的见解。 该试点项目的目标是开发一个网络基础设施卓越中心 (CI CoE) 模型，促进社区建设和共享，并应用设施 CI 的最佳实践和创新解决方案知识。该试点项目将探索这样的中心如何促进现有设施的 CI 改进以及利用先进 CI 架构设计并利用既定工具和解决方案的新设施的设计。该试点项目还将促进最终 CI CoE 的一项关键职能——为 CI 专家之间的经验和知识交流提供论坛。该项目还将收集大型设施的最佳实践，旨在在更广泛的 CI 背景下加强各个设施的 CI 工作。 未来 CI CoE 的讨论论坛和规划工作还将通过扩大熟练设施 CI 专家库和为 CI 专业人员打造职业道路来解决培训和劳动力发展问题。 这项工作的结果将是 CI CoE 的战略计划，该计划将通过社区互动进行评估和完善：研讨会以及与设施和更广泛的 CI 社区的直接参与。该项目得到了计算机和信息科学与工程理事会高级网络基础设施办公室以及生物科学理事会新兴前沿司的支持。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications

• DOI: 10.1109/tvcg.2019.2934594
• 发表时间: 2019-07
• 期刊: IEEE Transactions on Visualization and Computer Graphics
• 影响因子: 5.2
• 作者: Shusen Liu;Di Wang;D. Maljovec;Rushil Anirudh;Jayaraman J. Thiagarajan;S. A. Jacobs;B. V. Essen;D. Hysom;Jae-Seung Yeom;J. Gaffney;L. Peterson;Peter B. Robinson;H. Bhatia;Valerio Pascucci;B. Spears;P. Bremer

NLIZE: A Perturbation-Driven Visual Interrogation Tool for Analyzing and Interpreting Natural Language Inference Models

• DOI: 10.1109/tvcg.2018.2865230
• 发表时间: 2019-01
• 期刊: IEEE Transactions on Visualization and Computer Graphics
• 影响因子: 5.2
• 作者: Shusen Liu;Zhimin Li;Tao Li;Vivek Srikumar;Valerio Pascucci;P. Bremer

SpotSDC: Revealing the Silent Data Corruption Propagation in High-Performance Computing Systems

• DOI: 10.1109/tvcg.2020.2994954
• 发表时间: 2020-05
• 期刊: IEEE Transactions on Visualization and Computer Graphics
• 影响因子: 5.2
• 作者: Zhimin Li;Harshitha Menon;D. Maljovec;Y. Livnat;Shusen Liu;K. Mohror;P. Bremer;Valerio Pascucci

Cyberinfrastructure Center of Excellence Pilot: Connecting Large Facilities Cyberinfrastructure

网络基础设施卓越中心试点：连接大型设施

• DOI: 10.1109/escience.2019.00058
• 发表时间: 2019
• 期刊: 15th International Conference on eScience (eScience
• 作者: Deelman, Ewa;Mandal, Anirban;Pascucci, Valerio;Sons, Susan;Wyngaard, Jane;Vardeman, Charles;Petruzza, Steve;Baldin, Ilya;Christopherson, Laura;Mitchell, Ryan
• 通讯作者: Mitchell, Ryan

Advancing Fusion with Machine Learning Research Needs Workshop Report

• DOI: 10.1007/s10894-020-00258-1
• 发表时间: 2019-09
• 期刊: Journal of Fusion Energy
• 影响因子: 1.1
• 作者: D. Humphreys;A. Kupresanin;D. Boyer;J. Canik;E. Cyr;R. Granetz;J. Hittinger;E. Kolemen;E. Lawrence;Valerio Pascucci