Tampa Bay Life Sciences Computing Commons (TBLSCC)

坦帕湾生命科学计算共享中心 (TBLSCC)

• 批准号: 10430990
• 负责人: Steven Allen Eschrich
• 金额: $ 199.98万
• 依托单位: H. LEE MOFFITT CANCER CTR & RES INST
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-05-15 至 2024-05-14
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10430990
• 关键词: American; Area; Artificial Intelligence; Biological Sciences; Cancer Center; Collaborations; Communicable Diseases; Communities; Complement; Comprehensive Cancer Center; Computer software; Diabetes Mellitus; Environment; Equipment; Florida; Funding; Genomics; Growth; Health; Health Insurance Portability and Accountability Act; High Performance Computing; Infrastructure; Institutes; Legal patent; Machine Learning; Malignant Neoplasms; Mathematics; Medical Imaging; Minor; Modeling; NCI Center for Cancer Research; Oncology; Policies; Procedures; Public Health Informatics; Research; Research Personnel; Resources; Science; Services; System; United States National Institutes of Health; Universities; base; catalyst; cluster computing; computational platform; computing resources; end of life; innovation; open data; radiomics

Project Summary/Abstract Funds are requested for the Tampa Bay Life Sciences Computing Commons (TBLSCC), to refresh outdated equipment and expand existing hardware (84% net increase in cores). The TBLSCC will serve as a catalyst to consolidate life-sciences based compute capacity, resulting in fourfold expansion of the existing facility. The TBLSCC will meet current demands, support recent NIH-funded growth in quantitative sciences, leverage the shared expertise of computational researchers at Moffitt Cancer Center (MCC) and the University of South Florida (USF), and enable cross-institutional collaboration not previously possible. This proposal includes 23 life sciences research groups in the Tampa Bay area, with more than 15 NIH funded research Major or Minor Users representing over $100 million in annual NIH funding. The scientific use cases for this computational platform include cancer, diabetes, infectious disease, genomics, radiomics, artificial intelligence, and modelling research. Overall, 85 life sciences research groups would directly benefit from the new system. MCC operates an 82-node, 1120-core high-performance computing (HPC) cluster. The current hardware and software environment is end-of-life, slowing MCC research. Likewise, the USF Health Informatics Institute (HII) uses an 80 node, 1388 core cluster at end of life. USF recently developed a 77 node/1668 core/16TB restricted research (HIPAA-compliant) life sciences cluster (RRA) to complement their 435 node/9088 core/55 TB general-purpose cluster. RRA includes HIPAA-compliant storage, as well as policies and procedures for managing access for genomics and medical imaging research. We seek funds to purchase 86 nodes (6016 cores). We will leverage the existing RRA infrastructure to create the TBLSCC, a 163 node/7684 core cluster available for MCC/USF users that can accommodate 20% annual growth in computing intensive research. This resource will support cross-institutional collaboration, enable open science, and manage increased demands on computational resources leveraging shared MCC/USF research needs, USF research computing expertise, and MCC shared services computational expertise. MCC and USF are co-located with almost $300 million per year of NIH funding. MCC is the only Florida-based NCI-designated Comprehensive Cancer Center with innovative research, including Integrated Mathematical Oncology and Machine Learning. USF performs high-impact global research as a Preeminent Research University in Florida and is eighth among American public research universities in generating new patents. The TBLSCC will support this vibrant life science research community and provide a platform for health-focused innovations.

项目摘要/摘要 要求资金用于坦帕湾生命科学计算共享（TBLSCC），以刷新过时 设备并扩大现有硬件（核心净增加84％）。 TBLSCC将作为催化剂 巩固基于生命的计算能力，从而导致现有设施的四倍扩展。这 TBLSCC将满足当前的需求，支持NIH最新资助的定量科学增长，并利用 莫菲特癌症中心（MCC）和南部大学的计算研究人员的共同专业知识 佛罗里达州（USF），以前无法实现跨机构合作。该建议包括23 坦帕湾地区的生命科学研究小组，拥有15多个NIH资助专业或次要的研究小组 用户代表超过1亿美元的年度NIH资金。该计算的科学用例 平台包括癌症，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，85个生命科学研究小组将直接从新系统中受益。 MCC运行一个82节点，1120核高性能计算（HPC）群集。当前的硬件和 软件环境是寿命末，减慢了MCC研究。同样，USF健康信息学研究所（HII） 在生命的尽头使用80个节点，1388核心群集。 USF最近开发了一个77节点/1668核心/16TB受限 研究（符合HIPAA）生命科学集群（RRA）以补充其435节点/9088核心/55 TB 通用群集。 RRA包括符合HIPAA的存储，以及政策和程序 管理基因组学和医学成像研究的访问。我们寻求资金购买86个节点（6016 内核）。我们将利用现有的RRA基础架构创建TBLSCC，一个163节点/7684核心群集 可用于MCC/USF用户，可在计算密集型研究中适应20％的年增长率。这 资源将支持跨机构合作，启用开放科学并管理增加的需求 关于利用共享MCC/USF研究需求的计算资源，USF研究计算专业知识， 和MCC共享服务计算专业知识。 MCC和USF每年拥有将近3亿美元的NIH资助。 MCC是唯一的佛罗里达州 NCI指定的综合癌症中心通过创新研究，包括综合数学 肿瘤学和机器学习。 USF作为一项杰出的研究进行高影响力的全球研究 佛罗里达大学的大学，在制定新专利方面是美国公共研究大学中的第八名。这 TBLSCC将支持这个充满活力的生活科学研究社区，并为以健康为中心 创新。