High-Performance Computing Cluster

描述(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，敬请拨款升级目前243个节点的高性能计算(HPC)集群，该集群创建于2004年，并于2006年扩大。建议的升级包括淘汰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，以实现具有1核、2核和4核CPU的306个节点的群集容量。新系统的处理能力提高了150%，内存容量增加了300%。扩大的能力将使全基因组关联和蛋白质组研究能够进行深入和有效的分析，降低目前不可接受的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，其中许多研究在当前的集群上是不可能的。新的HPC集群的核心用户群由中心至少15个由NIH资助的研究小组组成，其旨在根除癌症和其他疾病的生物医学研究依赖于各种计算密集型技术方法，如蛋白质折叠、艾滋病毒感染和流行病建模、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。我们的几名研究人员目前在使用我们目前的系统完成他们的工作方面遇到了很大的延误。其他人的项目根本不能用现有的工具来完成。(有关详细信息，请参阅研究项目部分)。RCS已运营目前的HPC集群六年，拥有总计146年的工作经验。拟议的新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群体的当前和未来需求，支持FHCRC由NIH资助的研究。 公共卫生相关性：我们要求扩展高性能计算(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。获得快速、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爆炸性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。我们中心由NIH资助的主要研究领域将极大地受益于所请求的HPC集群的数据分析能力的增加和性能的改善，包括对乳腺癌、前列腺癌和结直肠癌的大规模遗传流行病学研究；疫苗效力和传染病传播的建模；以及基于蛋白质组的生物标记物的发现。

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.