EAGER: The Next Generation of Smart Cyberinfrastructure: Efficiency and Productivity Through Artificial Intelligence

高效的网络基础设施（先进的计算、数据、软件和网络基础设施）是NSF为科学和工程新发现提供支持的关键组成部分。网络基础设施是复杂的，传统上需要多年的人工调整，以充分实现科学用户的最大性能。 我们建议引入人工智能（AI）作为一种自动快速优化性能和最广泛使用最近NSF支持的高级计算资源的方法。通过这一试点工作，我们的最终目标是实现和加速生物学、化学、海洋学、材料科学、气候建模和宇宙学等广泛领域的科学进步。随着研究网络基础设施在规模和复杂性上的快速增长，集成基于机器学习（ML）的新技术至关重要和人工智能，以确保对新硬件和软件组件的投资能够带来性能和能力的成比例提升。该项目将开展一项变革性的研究活动，目标是：（1）扩展ML算法，使其易于为科学界所用;（2）通过基于AI的预测模型提高网络基础设施的效率。这项技术工作将得到社区参与工作的补充和通知，以共同编目最先进的技术，并确定未来的挑战和机遇，以实现新的智能网络基础设施。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。

Efficient cyberinfrastructure (advanced computing, data, software and networking infrastructure) is a critical component of the support that NSF provides for new discoveries in science and engineering. Cyberinfrastructure is complex and traditionally requires years of human hand-tuning to fully achieve maximal performance for scientific users. We propose to introduce Artificial Intelligence (AI) as a way to automatically and quickly optimize the performance and broadest use of recent NSF-supported advanced computing resources. Through this pilot effort our ultimate aim is to enable and accelerate scientific advances in widely diverse fields such as biology, chemistry, oceanography, materials science, climate modeling, and cosmology.As the research cyberinfrastructure grows rapidly in scale and complexity, it is essential to integrate new technologies based on Machine Learning (ML) and AI to ensure that the investments in new hardware and software components result in proportional improvements in performance and capability. This project will undertake a transformative research activity targeting: (1) scaling ML algorithms to make them easily available to the scientific community; and (2) improving cyberinfrastructure efficiency through AI-based predictive models. This technical work will be complemented and informed by a community engagement effort to jointly catalog the state of the art and identify future challenges and opportunities in enabling a new smart cyberinfrastructure.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.