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

这个项目将教育计算研究人员如何有效地使用新颖的尖端硬件。随着计算硬件的快速发展，很难跟上这些变化的步伐。然而，这样做是至关重要的，因为先进系统的有效使用确保了进步和对宝贵资源（如计算时间和功率）的深思熟虑的使用。在这个项目中，参与者将学习如何使用美国国家科学基金会向国家社区提供的最新技术，以及高性能计算的关键概念和技术。他们还将在专家的指导下，解决他们在研究和学习中面临的挑战。该项目面向科学与工程领域的研究生和博士后，不过资历更高的人也可以申请。几乎所有的科学与工程学科都大量使用计算资源。因此，该程序的目标是广泛的应用程序和用户。这个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业计算技术时的易用性和生产力，（ii）发展一个消息灵通的计算研究人员社区，熟悉最新技术，（iii）确保他们能够处理它们并移植应用程序，以及（iv）确保正确有效地使用试验台。近年来，数据驱动的科学与工程的结合带来了新一代的网络基础设施（CI）技术。联邦机构已经投资于测试平台架构，使研究人员能够探索新的计算途径，并且大大提高了性能。这些测试平台的重点是促进CI中的创新，包括复杂的特性，这使得除了有经验的用户之外，所有人都很难使用它们。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式的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，对于有兴趣的研究人员同时体验所有测试平台技术的培训平台的需求尚未得到满足，并选择最适合支持他们的科学工作流程的培训平台。该奖项反映了美国国家科学基金会的法定使命，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。

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.