High Performance Computing and Machine Learning Infrastructure for Oregon Life Sciences

俄勒冈生命科学的高性能计算和机器学习基础设施

• 批准号: 10630777
• 负责人: Kyle Ellrott
• 金额: $ 195.5万
• 依托单位: OREGON HEALTH & SCIENCE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-21 至 2024-09-20
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10630777
• 关键词: Address; American; Area; Artificial Intelligence; Biological Sciences; Collaborations; Communicable Diseases; Communities; Comprehensive Cancer Center; Computational Biology; Data; Dementia; Diabetes Mellitus; Equipment; Funding; Genomics; Grant; Growth; Health; High Performance Computing; Infrastructure; Institution; Legal patent; Machine Learning; Malignant Neoplasms; Memory; Minor; Modeling; Oregon; Research; Research Personnel; Research Project Grants; Resources; Science; Services; System; United States National Institutes of Health; Universities; cluster computing; computational platform; computing resources; end of life; improved; innovation; mathematical model; open data; radiomics; tool

Project Summary/Abstract Oregon Health & Science University (OHSU) requests funds for the “High Performance Computing and Machine Learning Infrastructure for Oregon Life Sciences” to refresh outdated equipment and expand existing hardware resulting in a 39% net increase in memory and 183% increase in GPUs. Exacloud, the current high- performance computing (HPC) infrastructure at OHSU and Knight Cancer Institute was first installed in 2014 and expanded in subsequent years. The improvements will meet current demands, support recent NIH-funded growth in quantitative sciences, leverage the shared expertise of computational researchers at OHSU, and meet institutional needs at least until 2026. This proposal serves 61 life sciences research groups in the Portland area, 43 of which are actively funded by NIH and 26 are presented here as Major or Minor users who are listed as Contact PI on NIH grants totaling more than $33 million in annual funding. The scientific use cases for this computational platform include cancer, diabetes, infectious disease, genomics, radiomics, artificial intelligence, and modelling research. Overall, NIH research projects with over $89 million in annual NIH funding are listed in this proposal which would directly benefit from the improved system. The current OHSU Exacloud operates a 282-node, 9176-core high-performance computing (HPC) cluster. 36% of the current hardware is end-of-life, slowing OHSU research. We seek funds to purchase 102 nodes with 768 GB memory each (3264 cores and 176 GPUs). After discontinuing 127 nodes we will leverage the existing Exacloud infrastructure to create a 257 node/8888 core cluster with 282 GPUs that can accommodate 15% annual growth in computing and data intensive science for OHSU users as the new CPU cores are 86% faster than the equipment they will replace. This resource will enable open science, support cross-institutional collaboration, and manage increased demands on computational resources leveraging shared OHSU / Knight research needs and OHSU shared services computational expertise. OHSU and the Knight Cancer Institute and achieve more than $330 million of NIH funding per year. The Knight Cancer Institute is the only Oregon-based NCI-designated Comprehensive Cancer Center with innovative research, including Computational Biology and Machine Learning. OHSU performs high-impact global research as a preeminent research university in Oregon and is 12th among American research universities in generating new patents. OHSU investigators use innovative tools such as machine learning, genomics, and mathematical modeling to address important high-impact health concerns including cancer, infectious diseases, diabetes, and dementia. The improved Exacloud will support this vibrant life science research community and provide a platform for health-focused innovations.

项目总结/摘要 俄勒冈州健康与科学大学（OHSU）要求为“高性能计算和 俄勒冈州生命科学机器学习基础设施”，以更新过时的设备并扩展现有的 硬件方面，内存净增加39%，GPU增加183%。准确地说，目前的高- 2014年，OHSU和Knight癌症研究所首次安装了性能计算（HPC）基础设施 并在随后的几年中扩大。这些改进将满足当前的需求，支持最近NIH资助的 数量科学的增长，利用OHSU计算研究人员的共享专业知识， 至少在2026年前满足机构需求。该提案为61个生命科学研究小组提供服务， 波特兰地区，其中43个由NIH积极资助，26个作为主要或次要用户， 被列为国家卫生研究院赠款的联系PI，每年资助总额超过3300万美元。科学使用 该计算平台的案例包括癌症、糖尿病、传染病、基因组学、放射组学， 人工智能和建模研究。总体而言，NIH研究项目每年超过8900万美元， NIH的资金列在本提案中，将直接受益于改进后的系统。 目前的OHSU Exacloud运行着一个282节点、9176核的高性能计算（HPC）集群。百分之三十六 目前硬件的寿命结束，减缓了OHSU的研究。我们寻求资金购买102节点与768 GB内存（3264核心和176 GPU）。在停止127个节点后，我们将利用现有的 Exacloud基础架构，用于创建257节点/8888核心集群，配备282个GPU，可容纳15% OHSU用户的计算和数据密集型科学每年增长，因为新的CPU内核速度提高了86% 他们将取代的设备。该资源将使开放科学，支持跨机构 协作，并利用共享的OHSU / Knight管理对计算资源日益增长的需求 研究需求和OHSU共享服务计算专业知识。 OHSU和奈特癌症研究所每年获得超过3.3亿美元的NIH资金。骑士 癌症研究所是俄勒冈州唯一一家NCI指定的综合癌症中心， 研究，包括计算生物学和机器学习。OHSU进行高影响力的全球研究 作为俄勒冈州一所杰出的研究型大学，在美国研究型大学中排名第12位， 新专利。OHSU研究人员使用机器学习、基因组学和数学等创新工具， 建模以解决重要的高影响健康问题，包括癌症，传染病，糖尿病， 和痴呆症。改进后的Exacloud将支持这个充满活力的生命科学研究社区，并提供 以健康为中心的创新平台。