High Performance Computing and Machine Learning Infrastructure for Oregon Life Sciences

项目摘要/摘要 俄勒冈健康与科学大学(OHSU)申请资金用于“高性能计算和 用于更新过时设备和扩展现有设备的俄勒冈州生命科学机器学习基础设施 硬件导致内存净增长39%，GPU净增长183%。Exacout，目前的最高- OHSU和奈特癌症研究所的性能计算(HPC)基础设施于2014年首次安装 并在随后的几年里扩大了规模。这些改进将满足当前的需求，支持最近由NIH资助的 定量科学的发展，利用OHSU计算研究人员共享的专业知识，以及 至少在2026年前满足机构需求。这项建议为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个在这里作为主要或次要用户介绍，这些用户 被列为NIH拨款中的联系人PI，每年的资金总额超过3300万美元。科学使用 这个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、 人工智能和模型研究。总体而言，NIH的研究项目每年超过8900万美元 NIH的资金列在这项提案中，这些资金将直接受益于改进后的系统。 目前的OHSU Exacout运行着一个282节点、9176核的高性能计算(HPC)集群。36% 目前的硬件是报废的，减缓了OHSU的研究。我们寻求资金购买102个节点和768 GB内存(3264个内核和176个GPU)。在停止使用127个节点后，我们将利用现有的 Exacout基础架构，创建具有282个GPU的257节点/8888核心群集，可容纳15% OHSU用户在计算和数据密集型科学方面的年增长，因为新的CPU核心速度提高了86% 而不是他们将要更换的设备。这一资源将使开放科学成为可能，支持跨机构 协作，并利用共享的OHSU/Knight管理不断增长的计算资源需求 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》 癌症研究所是唯一一家总部位于俄勒冈州的NCI指定的综合性癌症中心，拥有 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 作为俄勒冈州一所卓越的研究型大学，在美国研究型大学中排名第12 新的专利。OHSU调查人员使用创新工具，如机器学习、基因组学和数学 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Exacout将支持这个充满活力的生命科学研究社区，并提供 以健康为重点的创新平台。

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funds for the “High Performance Computing and Machine Learning Infrastructure for Oregon Life Sciences” to refresh outdated equipment and expand existing hardware resulting in a 39% net increase in memory and 183% increase in GPUs.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.