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: 2320991
• 负责人: Paola Buitrago
• 金额: $ 6.18万
• 依托单位: Carnegie-Mellon 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=2320991&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.

这个项目将教育计算研究人员如何有效使用新的尖端硬件。随着计算硬件的快速发展，可能很难跟上这些变化的步伐。然而，这样做是至关重要的，因为有效地使用先进的系统确保进步和周到地使用宝贵的资源，如计算时间和能力。在这个项目中，参与者将学习如何使用NSF向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。他们还将在专家的指导下，努力解决他们在进行研究和学习时面临的挑战。该项目面向S(理工科)领域的研究生和博士后，不过资历较高的人也可以申请。S与工程学院几乎所有的学科都大量使用计算资源。因此，该计划面向广泛的应用程序和用户。该网络培训计划的目标是多方面的：(I)提高研究人员在使用尖端、专门的计算技术时的简易性和工作效率，(Ii)发展一个消息灵通、熟悉最新技术的计算研究人员社区，(Iii)确保他们有能力处理它们和移植应用程序，以及(Iv)确保正确和高效地使用试验床。最近数据支持的科学和工程的增长带来了新一代网络基础设施(CI)技术。联邦机构已经投资于试验床架构，允许研究人员探索新的计算途径，极大地提高性能是有希望的。这些试验台专注于促进CI领域的创新，包括复杂的功能，这使得除经验丰富的用户之外的所有用户都更难使用它们。然而，研究生和博士后是CI的最大用户，他们需要一种脚手架方法来确保他们能够执行这种迁移，同时在解决他们的研究问题方面取得有意义的进展。此外，还有一个未得到满足的培训平台，供感兴趣的研究人员同时体验所有试验台技术，并选择最适合支持他们的科学工作流程的技术。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。