CC* Compute: Accelerating Science and Education by Campus and Grid Computing

CC* 计算：通过校园和网格计算加速科学和教育

基本信息

批准号：
2019089
负责人：
Jan Mandel
金额：
$ 39.99万
依托单位：
University of Colorado at Denver-Downtown Campus
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-07-01 至 2023-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2019089&HistoricalAwards=false
关键词：
CC Compute Accelerating Science Education

项目摘要

High-performance computing resources are a fundamental need of modern research that unites almost all disciplines. Experience with these resources is also an important tool for preparing today's students for a wide range of careers. A group of researchers and educators at the University of Colorado Denver, in partnership with its Office of Information Technology, are building a state-of-the-art computing resource on its Downtown Campus. The new facility provides the first campus-wide high-performance computer system to support both research and teaching efforts. The computing cluster is integrated with the Open Science Grid (OSG), enabling access to additional computing resources from partner institutions, and sharing unused time with the wider community. A high-priority educational queue is dedicated for teaching and course-based research. The resource will include 2048 AMD EPYC compute cores and 16TB memory distributed across 32 compute nodes; 2 high-memory nodes, each with 2TB memory and 64 cores; one NVIDIA Tesla V100 32GB GPU; 1PB (raw) storage; and InfiniBand interconnect. For data-intensive research and access of OSG jobs to distributed data, the cluster is configured with full end-to-end 10gb/s connectivity from each node to Internet 2. A graphical Jupyter notebook interface increases accessibility. The configuration addresses computing requirements based on a survey and an analysis of the needs of science and educational drivers in fields including earth and environmental sciences, biotechnology and genomics, computer science and engineering, applied mathematics, physics, and business. The resource will broaden participation in computational science and have a significant impact on the supported research.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.

高性能计算资源是几乎所有学科的现代研究的基本需求。这些资源的经验也是为当今学生准备各种职业的重要工具。科罗拉多大学丹佛分校的一群研究人员和教育工作者与其信息技术办公室合作，正在其市中心校园建立最先进的计算资源。新设施提供了第一个范围内的高性能计算机系统，以支持研究和教学工作。计算集群与开放科学网格（OSG）集成在一起，从而使合作伙伴机构可以访问其他计算资源，并与更广泛的社区共享未使用的时间。高优先级的教育队列专门用于教学和基于课程的研究。该资源将包括2048 AMD EPYC计算核心和分布在32个计算节点上的16TB内存； 2个高内存节点，每个节点具有2TB内存和64个内核；一个NVIDIA TESLA V100 32GB GPU； 1pb（RAW）存储；和Infiniband互连。对于数据密集型研究和OSG作业访问分布式数据的访问，该群集配置为从每个节点到Internet 2的完整端到端10GB/s连接。图形jupyter笔记本接口可提高可访问性。该配置解决了基于调查的计算需求，并对包括地球和环境科学，生物技术和基因组学，计算机科学和工程，应用数学，物理学和业务的科学和教育驱动力需求进行分析。该资源将扩大对计算科学的参与，并对支持的研究产生重大影响。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响评估标准通过评估来获得支持的。