CC* Compute: Interactive Data Analysis Platform

莱斯大学的研究人员从事开创性的数据密集型科学和工程越来越依赖于访问他们的研究所需的实时数据分析设施。这些研究活动包括图像处理，计算机视觉和机器学习，跨越多个领域，如地质科学，统计学，计算机科学和物理学。这些问题领域或用例中的每一个都可以通过利用GPU加速器进行交互式计算的共享计算基础设施来解决。该系统提供了一个重要的资源，使科学，但也为教育下一代的计算科学家在最新的GPU计算技术，通过研究计算中心的推广。该资源包括9个计算节点，每个节点具有40个核心，384 GB RAM，4 TB NVMe存储和8个NVIDIA Quadro RTX 6000 GPU。这些系统通过高性能网络互连，并托管在科学DMZ上，将其与开放科学网格以及商业云集成，从而提高了作为国家OSG工作的一部分的利用率，并能够利用云资源进行负载爆发。该系统利用了一个旨在支持容器化的开源软件栈，使每个研究人员能够利用自己独特的软件和工具包，同时共享通用硬件和通用云访问平台。此外，该基础设施是一个更大的技术生态系统的一部分，该生态系统利用联合身份和访问管理作为InCommon的一部分，和信息安全办公室，不仅支持大学的数据和技术安全，但包括有针对性的推广研究数据和协议的安全。这个奖项反映了NSF的法定使命，并已被认为是值得通过评估使用的支持，基金会的学术价值和更广泛的影响评审标准。

Rice University researchers engaged in groundbreaking data-intensive science and engineering increasingly depend on access to real-time data analysis facilities required for their research. These research activities include image processing, computer vision, and machine learning, spanning multiple fields, such as geological sciences, statistics, computer science, and physics. Each of these problems areas or use cases can be addressed by shared computational infrastructure leveraging GPU accelerators for interactive computing. The system provides a significant resource for enabling science but also for educating the next generation of computational scientists in the latest GPU-computing techniques through the outreach of the Center for Research Computing. The resource includes nine compute nodes, each with 40 cores, 384GB RAM, 4TB NVMe storage, and 8 NVIDIA Quadro RTX 6000 GPUs. The systems are interconnected via high-performance networking and hosted on a Science DMZ integrating them with the Open Science Grid as well as commercial cloud allowing both increased utilization as part of national OSG efforts and the ability to utilize cloud resources for load bursting. The system leverages an open-source software stack designed to support containerization, enabling each researcher to utilize their own unique set of software and toolkits while sharing common hardware and a common cloud access platform. Moreover, the infrastructure is part of a larger technology ecosystem that leverages federated identity and access management as part of InCommon, advanced networking with science DMZ, and Information Security Office that supports not only university data and technology security but includes targeted outreach for research data and protocol security.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.