CC* Campus Compute: Interdisciplinary GPU-Enabled Compute

Talon图形处理单元（GPU）集群代表了迈阿密大学GPU加速计算的重大飞跃。利用Talon GPU集群的劳动力发展和教育工作正在加强人工智能素养，并以符合最佳教育实践的方式将人工智能纳入高等教育领域。这些努力正在培养一个积极参与的社区，准备满足美国经济在机器学习和人工智能方面的需求。该项目利用Talon GPU集群能力，通过开放科学网格提供访问，使20%的集群正常运行时间用于更广泛社区的研究。Talon GPU集群是一个专用的高性能计算集群，由多个节点组成，每个节点都有多个最先进的GPU。每个GPU的板载内存和节点上的高容量磁盘空间促进了资源密集型GPU加速计算的努力。快速互连提高了并行计算作业性能。Talon GPU集群支持的研究跨越了迈阿密大学的所有学术部门，包括开发复杂的原子核模拟，开发和使用人工智能聊天机器人编写复杂的技术手册，通过机器学习对酶抑制剂候选物进行硅筛选，以及开发用于基于图像的制造质量控制自动分析的机器学习算法。迈阿密大学研究人员和教育工作者的跨学科合作努力正在将人工智能的社会和教学影响纳入课程，并进一步将研究与围绕人工智能的伦理问题的教育工作联系起来。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。

The Talon graphics processing unit (GPU) cluster represents a major leap forward in GPU-accelerated computing at Miami University. Workforce development and education efforts utilizing the Talon GPU cluster are strengthening artificial intelligence literacy and incorporating artificial intelligence into the higher education landscape in a manner consistent with best educational practices. These efforts are training an engaged community prepared to meet the needs of the U.S. economy in machine learning and artificial intelligence. The project is leveraging Talon GPU cluster capabilities by providing access through the Open Science Grid, enabling 20% of cluster uptime for research from the broader community.The Talon GPU cluster is a dedicated high-performance computing cluster comprising multiple nodes, each with multiple state-of-the-art GPUs. Resource-intensive GPU-accelerated computing efforts are facilitated by onboard memory for each GPU and high-capacity on-node disk space. Parallel computing job performance is enhanced by fast interconnects. Research enabled by the Talon GPU cluster spans all academic divisions at Miami University and includes the development of sophisticated simulations of atomic nuclei, the development and use of AI chatbots for complex technical handbooks, in silico screening of enzyme inhibitor candidates via machine learning, and the development of machine learning algorithms for automated analysis of image-based manufacturing quality control. The interdisciplinary and collaborative efforts of Miami University researchers and educators are incorporating the societal and pedagogical impact of artificial intelligence into courses and further connect the research to education efforts centered on ethical issues around artificial intelligence.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.