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），弗雷德哈钦森癌症研究中心（FHCRC）的高性能计算共享资源，恭敬地要求资金升级目前的243节点，高性能计算（HPC）集群创建于2004年，并在2006年扩大。拟议的升级涉及淘汰60个最旧的节点，然后添加123个新的计算节点及其支持设备，以实现306个节点的集群容量，并配备1、2和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有效的分析，降低目前模拟实验不可接受的高失败率，并适应最近80%的计算密集型研究增长，其中大部分在当前集群上是不可能的。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，这些研究小组在许多领域开展的旨在根除癌症和其他疾病的生物医学研究依赖于计算密集型技术方法，如蛋白质折叠、HIV感染和流行病建模、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。我们的几位研究人员目前在使用我们目前的系统完成他们的工作时遇到了严重的延迟。其他国家的项目在现有文书上根本无法完成。(See研究项目部分的详细信息）。RCS已经运营当前的HPC集群六年，拥有一批拥有146年经验的员工。建议的新HPC群集将安装在FHCRC数据中心的可用空间中。扩大后的集群将满足我们用户社区的当前和未来需求，支持FHCRC的NIH资助的研究。 公共卫生相关性：我们正在申请一个扩展的高性能计算（HPC）集群，以满足我们中心广泛的生物医学研究中不断增长的计算需求。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数据爆炸转化为更好的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NIH资助的研究的主要领域将大大受益于所需HPC集群的数据分析能力的提高和性能的改善，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;疫苗有效性和传染病传播的建模;和基于蛋白质组学的生物标志物发现。