High Performance Informatics Infrastructure

高性能信息学基础设施

• 批准号: 8935611
• 负责人: ROBERT L. GROSSMAN
• 金额: $ 24.58万
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-22 至 2016-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8935611
• 关键词: Clinical; Cloud Computing; Complex; Computer software; Data; Data Set; Disease; Etiology; Genes; Genetic Models; Genomics; Goals; High Performance Computing; Hour; Informatics; Instruction; Internet; Molecular; Performance; Pharmacogenomics; Phenotype; Records; Research Infrastructure; Running; System; cloud based; computer infrastructure; neuropsychiatry

Over the past five to ten years, there have been important advances in data intensive computing, primarily driven by large Internet companies such as Google, Yahoo, Amazon, and Facebook. Companies such as Google and Yahoo now think of data intensive computing at the scale of data centers instead of clusters and have developed specialized software for managing and analyzing very large datasets. Companies such as Amazon and Microsoft offer what are known as public clouds so that computer infrastructure, ranging from single machines to clusters that contain hundreds of machines can be rented out by the hour. Sometimes the former computing platforms are known as large data clouds and the latter computing platforms are known as elastic clouds. The goal of Core B is to develop a cloud based high performance computing and informatics infrastructure to manage the wide variety of data required for this project and to support the computation of genetic models for complex phenotypes leveraging clinical records, molecular networks, gene-phenotype networks, and pharmacogenomic data.

在过去的五到十年里，数据密集型计算取得了重要进展，主要是 由谷歌、雅虎、亚马逊和Facebook等大型互联网公司推动。等公司 谷歌和雅虎现在考虑的是数据中心规模的数据密集型计算，而不是集群， 已经开发了专门的软件来管理和分析非常大的数据集。等公司 亚马逊和微软提供所谓的公共云，以便计算机基础设施， 单个机器到包含数百台机器的集群可以按小时出租。有时 前一种计算平台被称为大型数据云，后一种计算平台被称为 弹性云核心B的目标是开发基于云的高性能计算和信息学 基础设施，以管理本项目所需的各种数据，并支持计算 利用临床记录、分子网络、基因-表型的复杂表型遗传模型 网络和药物基因组学数据。