High Performance Informatics Infrastructure

在过去五到十年中，在数据密集型计算方面取得了重要进展，主要是 由谷歌、雅虎、亚马逊和Facebook等大型互联网公司推动。公司，如 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，而不是集群和 开发了专门的软件来管理和分析非常大的数据集。公司，如 亚马逊和微软提供所谓的公共云，因此计算机基础设施的范围从 一台机器到包含数百台机器的集群可以按小时出租。有时， 前者的计算平台称为大数据云，后者的计算平台称为 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 基础设施来管理此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-表型的复杂表型的遗传模型 网络和药物基因组数据。

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.