A HIGH PERFORMANCE SERVER FOR DATA-INTENSIVE COMPUTATION: PROTEOMICS

用于数据密集型计算的高性能服务器：蛋白质组学

• 批准号: 7335181
• 负责人: PAUL T. MATSUDAIRA
• 金额: $ 15.69万
• 依托单位: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-04-15 至 2007-04-14
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7335181
• 关键词: behavior; computational biology; diagnosis; drug discovery /isolation; experience; gait; memory; model; neoplasm /cancer diagnosis; performance; proteins; proteomics

This subproject is one of many research subprojects utilizing the resources provided by a Shared Instrumentation Grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the grant, which is not necessarily the institution for the investigator. DESCRIPTION (provided by applicant): The Computational and Systems Biology Initiative at MIT (CSBi) requests funds to purchase a symmetric multi-processing server with storage area network data storage (SMP-SAN) enabling scientists to handle data-intensive computational problems related to a wide variety of Systems Biology projects. This centrally- accessible computational resource is critically required for the immediate progress of several labs engaged in fundamental aspects of biological research. In this proposal, we describe a significant and growing subset of computational biology problems that due to large data sizes cannot be tackled using traditional 32-bit clusters connected to data on network attached storage (NAS) devices. It is our intention to augment the computational resources available in the CSBi High-Performance Computing (HPC) core and the Whitehead-MIT Biolmaging Center with a base configuration of an SMP server containing sixteen 64-bit Itanium2 processors with 64 gigabytes (GB) memory, running a generic 64-bit capable linux operating system (OS), and several terabytes (TBs) of data storage with multiple fiber-channel connections enabling multi-gigabit per second low latency bandwidth. The SMP-SAN will allow researchers to easily collect hundreds of GB to TB of data and directly address the computational needs in two major areas of biology described in this proposal: imaging and proteomics. The projects range from development of imaging technologies to study cellular behavior and non-invasive methods for cancer diagnosis to identifying, understanding and modeling proteins to help in drug discovery and clinical diagnosis. The resource will be located in the Whitehead-MIT Biolmaging Center and integrated with the CSBi HPC resources. The Biolmaging Center and the CSBi HPC Core have extensive experience with management of high-performance computing systems and large data storage systems and are committed to the support and maintenance of the proposed system.

该子项目是利用 NIH/NCRR 资助的共享仪器补助金提供的资源的众多研究子项目之一。子项目和研究者 (PI) 可能已从另一个 NIH 来源获得主要资金，因此可以在其他 CRISP 条目中出现。列出的机构是资助机构，不一定是研究者的机构。描述（由申请人提供）：麻省理工学院计算与系统生物学计划 (CSBi) 请求资金购买具有存储区域网络数据存储 (SMP-SAN) 的对称多处理服务器，使科学家能够处理与以下方面相关的数据密集型计算问题：各种各样的系统生物学项目。这种可集中访问的计算资源对于从事生物学研究基础方面的多个实验室的直接进展至关重要。在本提案中，我们描述了计算生物学问题的一个重要且不断增长的子集，由于数据量较大，无法使用连接到网络附加存储 (NAS) 设备上的数据的传统 32 位集群来解决这些问题。我们的目的是通过包含 16 个 64 位安腾 2 处理器和 64 GB 内存的 SMP 服务器基本配置来增强 CSBi 高性能计算 (HPC) 核心和 Whitehead-MIT 生物成像中心的可用计算资源，运行通用 64 位 Linux 操作系统 (OS) 和数 TB 数据存储，并具有多个光纤通道连接，可实现每秒多千兆位的低延迟带宽。 SMP-SAN 将使研究人员能够轻松收集数百 GB 到 TB 的数据，并直接解决该提案中描述的两个主要生物学领域的计算需求：成像和蛋白质组学。这些项目范围从开发成像技术来研究细胞行为和癌症诊断的非侵入性方法，到识别、理解和建模蛋白质以帮助药物发现和临床诊断。该资源将位于 Whitehead-MIT 生物成像中心，并与 CSBi HPC 资源集成。生物成像中心和CSBi HPC核心在高性能计算系统和大数据存储系统的管理方面拥有丰富的经验，并致力于对拟议系统的支持和维护。