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（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恭敬地要求资金，以升级当前的243节点，高性能计算（HPC）在2004年创建的，然后在2004年创建了新的，并在2006年进行了扩展。计算节点及其支持设备，以实现1、2和4核CPU的306个节点的簇容量。新系统的处理能力增加了150％，记忆容量增加了300％。扩大的能力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，降低当前不可接受的模拟实验失败率，并适应计算密集型研究的最近80％的增长，这在当前集群上是不可能的。新型HPC群集的核心用户组由众多领域的至少15个NIH资助的研究小组组成，其生物医学研究旨在消除癌症和其他疾病的生物医学研究取决于蛋白质折叠的计算密集型技术方法，例如蛋白质折叠，HIV HIV感染，建模HIV感染，蛋白质组学，蛋白质组学，蛋白质组学，蛋白质组学，较高的序列序列，多个流动型，多种序列，多种序列cytrience，多阶段。我们的一些研究人员目前正在使用我们当前的系统实现他们的工作延迟。其他人则在现有工具上根本无法完成项目。 （有关详细信息，请参见研究项目部分）。 RCS经营了目前的HPC集群已有六年的历史，并拥有146年的总经验。提出的新HPC群集将安装在FHCRC数据中心的可用空间中。扩展的集群将满足用户社区的直接和未来需求，并支持FHCRC的NIH资助研究。 公共卫生相关性：我们要求扩大的高性能计算（HPC）集群，以在我们中心的广泛生物医学研究中为日益增长的计算需求提供能力。对于大规模蛋白质组学，基因组学和流行病学研究而改善预防，检测和治疗癌症以及其他威胁生命的疾病，可以访问快速，可靠的HPC簇对于转化大规模蛋白质组学，基因组学和流行病学研究而产生的数据的爆炸至关重要。 NIH资助的研究中心的主要领域将大大受益于数据分析能力的提高和所需的HPC群集的性能提高，包括对乳腺癌，前列腺和结直肠癌的大规模遗传流行病学研究；疫苗功效和传染病的传播建模；和基于蛋白质组学的生物标志物发现。