Collaborative Research: CyberTraining: Pilot: Building a strong community of computational researchers empowered in the use of novel cutting-edge technologies

协作研究：网络培训：试点：建立一个强大的计算研究人员社区，有权使用新颖的尖端技术

• 批准号: 2320992
• 负责人: Dhruva Chakravorty
• 金额: $ 6.18万
• 依托单位: Texas A&M University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2320992&HistoricalAwards=false
• 关键词: Collaborative; Research; CyberTraining; Pilot; Building

This project will educate computational researchers in the efficient use of novel cutting-edge hardware. As computational hardware rapidly evolves, it can be hard to keep pace with these changes. It is, however, crucial to do so, since the efficient use of advanced systems ensures progress and thoughtful use of valuable resources such as computing time and power. In this program, participants will learn how to use the newest technologies that NSF makes available to the national community, as well as key concepts and technologies in high-performance computing. They will also work on challenges they are facing in pursuing their research and studies while being mentored by experts. The program is targeting graduate students and postdocs from the S&E (science and engineering) community, although people with higher seniority can also apply. Nearly all disciplines in S&E heavily use computational resources. Hence, this program is targeting a wide range of applications and users.The goals of this Cybertraining program are manifold: (i) improve researchers' ease and productivity when working with cutting-edge, specialized computing technology, (ii) grow a well-informed community of computational researchers, familiar with the newest technologies, (iii) ensure they are capable of handling them and porting applications, and (iv) ensure proper and efficient usage of the testbeds. The recent growth in data-enabled science and engineering coupled has ushered in a new generation of cyberinfrastructure (CI) technologies. Federal agencies have invested in testbed architectures that allow researchers to explore new avenues of computing, and vastly improved performance holds promise. With a focus on fostering innovation in CI, these testbeds include complex features which make them harder to use by all but experienced users. Graduate students and postdocs, the largest users of CI, however, require a scaffolded approach to ensure that they are able to perform this migration while making meaningful progress toward addressing their research problems. Furthermore, there is an unmet need for a training platform for interested researchers to experience all the testbed technologies simultaneously, and select the one that is best suited to support their scientific workflows.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.

该项目将教育计算研究人员有效利用新颖的尖端硬件。随着计算硬件的迅速发展，很难跟上这些更改。但是，这样做是至关重要的，因为高级系统的有效使用可确保进步和周到的宝贵资源（例如计算时间和功率）。在该计划中，参与者将学习如何使用NSF为国家社区提供的最新技术，以及高性能计算中的关键概念和技术。他们还将在受到专家指导的同时，在追求研究和研究方面面临挑战。该计划是针对S＆E（科学与工程）社区的研究生和博士后，尽管资历更高的人也可以适用。 S＆E中几乎所有学科都大量使用计算资源。因此，该计划针对广泛的应用和用户。该网络培养计划的目标是多方面的：（i）在使用尖端，专业的计算技术时，提高了研究人员的便捷性和生产力，（ii）成长一个了解良好的计算研究人员社区，以确保最新的技术（iii）确保他们能够处理和（III）确保使用和（IID）的应用程序和（IID）和（IV）。近期支持数据的科学和工程耦合的增长已经迎来了新一代的网络基础设施（CI）技术。联邦机构已投资于测试架构，使研究人员能够探索新的计算途径，并且绩效大大提高具有希望。侧重于促进CI的创新，这些测试床具有复杂的功能，使它们更难被所有经验丰富的用户使用。但是，CI的最大用户是研究生和博士后，需要采用脚手架的方法，以确保他们能够执行此迁移，同时在解决他们的研究问题方面取得了有意义的进步。此外，对于有兴趣的研究人员来说，培训平台的需求未满足，可以同时体验所有测试床技术，并选择最适合支持其科学工作流的方法。该奖项反映了NSF的法定任务，并认为通过使用该基金会的智力和更广泛的影响来审查Criteria，它被认为是值得通过评估的支持。