Equipment: MRI: Track 1 Acquisition of NVIDIA DGX H100 GPU system for research and education at VCU

设备： MRI：轨道 1 采购 NVIDIA DGX H100 GPU 系统，用于 VCU 的研究和教育

• 批准号: 2316003
• 负责人: Alberto Cano
• 金额: $ 29.96万
• 依托单位: Virginia Commonwealth 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: 2023-11-01 至 2026-10-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2316003&HistoricalAwards=false
• 关键词: Equipment; MRI; Track; Acquisition; NVIDIA

Graphic Processing Units (GPUs) have become an essential computational tool in support of a wide range of research areas. This project funds the acquisition of a high-performance GPU cluster to be installed at the Virginia Commonwealth University (VCU) High-Performance Research Computing (HPRC) core user facility, which provides shared university-wide access to high-performance computing clusters for research and education purposes. The GPU instrumentation will benefit the research and training activities of 22 research groups and impact 400+ users across the entire university. The acquisition advances next-generation research in artificial intelligence, modeling, and simulations across a broad range of disciplines including computer science, engineering, life sciences, and physical sciences. Further benefits include those to cutting-edge research, research training of graduate and undergraduate students, course and curriculum development, K-12 outreach impacts, and the participation of underrepresented minorities. The new resources will also strengthen interdisciplinary research and broaden collaborative activities across disciplines with local industry and federal laboratories.The acquisition of a NVIDIA DGX H100 GPU system will significantly expand the GPU computing capacity at VCU to help satisfy the increasing high-performance computing demand across various science & engineering disciplines. The key research projects that will benefit from this equipment are in the areas of machine learning for high-speed data streams, deep learning and quantum machine learning, neuromodulation (transcranial magnetic stimulation and deep brain stimulation), computational chemistry (quantum chemistry), optics and defects in semiconductors (gallium nitride), software vulnerability prediction using deep learning, nanomagnetic materials and nanoscale magnetic devices, real-time pandemic management architecture, secure and flexible medical IoT infrastructure (protection from cyberattacks deployed at network edge components), and ultrafast dissociation dynamics of isolated organic molecular cations. This project will also support the training of high-school, undergraduate, graduate students and postdoctoral fellows in cutting-edge interdisciplinary research spanning computer science, engineering, physics, and chemistry, strengthening existing ties with nearby HBCUs, as well as expanding K-12 minority outreach programs.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.

图形处理单元(GPU)已经成为支持广泛研究领域的重要计算工具。该项目为购买高性能GPU集群提供资金，该集群将安装在弗吉尼亚联邦大学(VCU)高性能研究计算(HPRC)核心用户设施中，该设施提供大学范围内用于研究和教育目的的高性能计算集群的共享访问。GPU仪器将惠及22个研究小组的研究和培训活动，并影响整个大学的400+用户。此次收购推进了包括计算机科学、工程、生命科学和物理科学在内的广泛学科领域的下一代人工智能、建模和仿真研究。其他惠益包括前沿研究、研究生和本科生的研究培训、课程和课程开发、K-12外联影响以及代表性不足的少数群体的参与。新的资源还将加强跨学科研究，并扩大与当地行业和联邦实验室的跨学科协作活动。收购NVIDIA DGX H100图形处理器系统将显著扩展VCU的图形处理器计算能力，以帮助满足各个科学与工程学科日益增长的高性能计算需求。将受益于该设备的主要研究项目包括：高速数据流的机器学习；深度学习和量子机器学习；神经调制(经颅磁刺激和脑深部刺激)；计算化学(量子化学)；半导体(氮化镓)中的光学和缺陷；利用深度学习的软件脆弱性预测；纳米磁性材料和纳米磁性设备；实时流行病管理架构；安全灵活的医疗物联网基础设施(部署在网络边缘组件上，防止网络攻击)；以及孤立有机分子阳离子的超快解离动力学。该项目还将支持对高中生、本科生、研究生和博士后研究员进行横跨计算机科学、工程、物理和化学的尖端跨学科研究的培训，加强与附近HBCU的现有联系，以及扩大K-12少数族裔外展计划。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。