CC* Compute: OneOklahoma Cyberinfrastructure Initiative Research Accelerator for Machine Learning (OneOCII-RAML)

该奖项全部或部分由2021年美国救援计划法案（公法117-2）资助。在该项目中，俄克拉荷马州大学（俄克拉荷马州）旨在获得GPU驱动的人工智能/机器学习HPC资源，“One俄克拉荷马州Cyberinfrastructure Initiative Research Accelerator for Machine Learning（OneOCII-RAML）"。OneOCII-RAML是一个7节点集群，每个节点都配置了NVIDIA HGX A100 4-GPU（共28个A100 GPU）。该系统将直接支持几个活跃的研究项目，教育编程，以增加AI/ML在计算机科学学科以外的研究中的使用，并将通过OneOklahoma Friction Free Network（OFFN）成为全州范围的资源。OneOCII-RAML将与正在进行的超级计算机部署集成在一起。OneOCII-RAML的作用是加速俄克拉荷马州在许多STEM学科的战略研究，包括：天气、气候和沿海海洋学领域值得信赖的人工智能; ATLAS高能物理合作;戒烟;生物信息学和医学物理成像;人脑信号;移动的网络设计;储层岩石打字;自然语言处理;这个俄克拉荷马州大学的项目专注于获取，部署和维护大规模人工智能/机器学习（AI/ML）计算机系统-OneOklahoma Cyberinfrastructure Initiative Research Accelerator for Machine Learning（OneOCII-RAML）。该计算机系统将使俄克拉荷马州的计算机和非商业机构的研究人员（本科生，研究生，博士后，工作人员，教师）能够通过图形处理单元（GPU）进行基于AI/ML的研究和教育。OneOCII-RAML的硬件平台是一组GPU服务器计算机，配备NVIDIA Ampere Next GPU，集成到OSCER的新超级计算机中。该项目还将教研究人员如何将GPU用于AI/ML。OSCER的研究计算促进者将与每个研究团队一对一地讨论如何使用这些GPU。已经确定了18个研究团队已经将GPU用于AI/ML，51个研究团队渴望这样做。快速增长的变革性科学、技术、工程数学（STEM）研究组合基于AI/ML计算，这些计算越来越依赖于GPU等加速器来缩短科学时间。该项目为科学驱动的需求提供了强有力的理由，这种基于GPU的计算资源在全州范围内具有很高的使用概率和影响力。该项目由高级网络基础设施办公室（OAC）和刺激竞争研究的既定计划（EPSCoR）共同资助。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。

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).In this project, the University of Oklahoma (OU) aims to acquire a GPU powered Artificial Intelligence/Machine Learning HPC resource, “OneOklahoma Cyberinfrastructure Initiative Research Accelerator for Machine Learning (OneOCII-RAML)”. OneOCII-RAML is a 7 node cluster, with each node configured with an NVIDIA HGX A100 4-GPU (28 A100 GPUs total). The system will directly support several active research projects, educational programming to grow the use of AI/ML in research beyond Computer Science disciplines, and would be a state-wide resource via the OneOklahoma Friction Free Network (OFFN). OneOCII-RAML would be integrated with an in-progress supercomputer deployment at OU. OneOCII-RAML's role is to accelerate Oklahoma's strategic research in many STEM disciplines, including: trustworthy AI in weather, climate and coastal oceanography; the ATLAS high energy physics collaboration; smoking cessation; bioinformatics and medical physics imaging; human brain signals; mobile network design; reservoir rock typing; natural language processing; and quasar feedback.This University of Oklahoma (OU) project focuses on acquiring, deploying and maintaining a large scale Artificial Intelligence/Machine Learning (AI/ML) computer system -- the OneOklahoma Cyberinfrastructure Initiative Research Accelerator for Machine Learning (OneOCII-RAML). The computer system will enable researchers (undergraduates, graduate students, postdocs, staff, faculty) at OU and non-commercial institutions across Oklahoma to pursue AI/ML-based research and education via Graphics Processing Units (GPUs). OneOCII-RAML's hardware platform is a set of GPU server computers with NVIDIA Ampere Next GPUs, integrated into OSCER's new supercomputer. The project will also teach researchers how to use GPUs for AI/ML. OSCER's Research Computing Facilitators will be the mechanism for working one-on-one with each research team on how to use these GPUs. Eighteen research teams have been identified that are already using GPUs for AI/ML and fifty-one research teams aspire to do so. A rapidly growing portfolio of transformative Science, Technology, Engineering & Mathematics (STEM) research is based on AI/ML calculations, which increasingly depend on accelerators such as GPUs for reducing time-to-science. The project makes a strong case for science-driven needs for this GPU-based addition to OU compute resources with high probability of use and impact throughout the state.This project is funded through the collaborative efforts of the Office of Advanced Cyberinfrastructure (OAC) and the Established Program to Stimulate Competitive Research (EPSCoR).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.