High-Performance Computing Cluster

高性能计算集群

• 批准号: 7793588
• 负责人: LELAND H HARTWELL
• 金额: $ 49.63万
• 依托单位: FRED HUTCHINSON CANCER RESEARCH CENTER
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-02-18 至 2011-02-17
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7793588
• 关键词: Address; Area; Biological Markers; Biomedical Research; Breast; Cancer Model; Colorectal Cancer; Communities; Data; Data Analyses; Detection; Disease; Epidemic; Epidemiologic Studies; Equipment; Explosion; Failure; Flow Cytometry; Fred Hutchinson Cancer Research Center; Funding; Future; Genetic; Genomics; Growth; HIV Infections; High Performance Computing; Life; Malignant Neoplasms; Memory; Modeling; Performance; Prevention; Process; Prostate; Proteomics; Research; Research Personnel; Research Project Grants; Resource Sharing; System; Translations; Work; abstracting; base; cancer therapy; disease transmission; experience; genome wide association study; improved; instrument; protein folding; public health relevance; research study; simulation; vaccine efficacy

DESCRIPTION (provided by applicant): Project Summary/Abstract Research Computing Support (RCS), the high-performance computing shared resource of the Fred Hutchinson Cancer Research Center (FHCRC) respectfully requests funds to upgrade the current 243-node, high-performance computing (HPC) cluster created in 2004 and expanded in 2006. The proposed upgrade involves retiring the 60 oldest nodes, then adding 123 new compute nodes and their supporting equipment to achieve a cluster capacity of 306 nodes with 1, 2, and 4-core CPUs. The new system offers a 150% increase in processing power and 300% increase in memory capacity. The expanded capacity will enable deep and efficient analysis of genome-wide association and proteomic studies, decrease the currently unacceptably high failure rates of simulation experiments, and accommodate the recent 80% growth in computing intensive research, much of which is not possible on the current cluster. The core user group for the new HPC cluster consists of at least 15 NIH-funded research groups at the Center numerous areas whose biomedical research aimed at eradicating cancer and other diseases is dependent on computationally intensive technical approaches as diverse as protein folding, modeling HIV infection and epidemics, proteomics, genome-wide association studies, multiparameter flow cytometry, and high-throughput sequencing. Several of our researchers are currently experiencing substantial delays in accomplishing their work using our current system. Others have projects that cannot be done at all on the existing instrument. (See Research Projects section for details). RCS has operated the current HPC cluster for six years and has a staff with a combined 146 years of experience. The proposed new HPC cluster will be installed in available space in an FHCRC datacenter. The expanded cluster will address both immediate and future needs of our user community, supporting NIH-funded research at the FHCRC. PUBLIC HEALTH RELEVANCE: We are requesting an expanded high-performance computing (HPC) cluster to provide capacity for the growing computational needs in a broad range of biomedical research studies at our center. Access to fast, reliable HPC clusters is critically important for the translation of the explosion of data produced by large-scale proteomics, genomics, and epidemiological studies into improved prevention, detection and treatment of cancer and other life-threatening diseases. Major areas of NIH-funded research at our center that will greatly benefit from the increased data-analysis capacity and improved performance of the requested HPC cluster include large-scale genetic epidemiologic studies of breast, prostate and colorectal cancers; modeling of vaccine efficacy and infectious disease transmission; and proteomic-based biomarker discovery.

描述（由申请人提供）： 项目摘要/摘要研究计算支持 (RCS)，Fred Hutchinson 癌症研究中心 (FHCRC) 的高性能计算共享资源，恳请资金升级当前的 243 节点高性能计算（HPC）集群创建于 2004 年，并于 2006 年进行了扩展。拟议的升级包括淘汰 60 个最旧的节点，然后添加 123 个新计算节点及其支持设备以实现集群容量为 306 个节点，1、2、4 核 CPU。新系统的处理能力提高了 150%，内存容量提高了 300%。扩展后的容量将能够对全基因组关联和蛋白质组学研究进行深入、高效的分析，降低目前模拟实验的高失败率，并适应最近 80% 的计算密集型研究的增长，其中大部分在当前的情况下是不可能的。簇。新 HPC 集群的核心用户组由该中心至少 15 个 NIH 资助的研究小组组成，这些研究小组旨在根除癌症和其他疾病的生物医学研究依赖于蛋白质折叠、艾滋病毒感染建模等多种计算密集型技术方法流行病、蛋白质组学、全基因组关联研究、多参数流式细胞术和高通量测序。目前，我们的几位研究人员在使用我们当前的系统完成工作时遇到了严重的延迟。其他人的项目根本无法在现有仪器上完成。 （有关详细信息，请参阅研究项目部分）。 RCS 运营当前 HPC 集群已有六年，员工经验总计达 146 年。拟议的新 HPC 集群将安装在 FHCRC 数据中心的可用空间中。扩展后的集群将满足我们用户社区的当前和未来需求，支持 NIH 资助的 FHCRC 研究。 公共健康相关性：我们请求扩展高性能计算 (HPC) 集群，以便为我们中心广泛的生物医学研究中不断增长的计算需求提供容量。访问快速、可靠的 HPC 集群对于将大规模蛋白质组学、基因组学和流行病学研究产生的大量数据转化为改进癌症和其他危及生命的疾病的预防、检测和治疗至关重要。我们中心的 NIH 资助研究的主要领域将极大地受益于所需 HPC 集群的数据分析能力的增强和性能的提高，包括乳腺癌、前列腺癌和结直肠癌的大规模遗传流行病学研究；疫苗功效和传染病传播建模；和基于蛋白质组的生物标志物发现。