Wrangler: A Transformational Data Intensive Resource for the Open Science Community

Wrangler：开放科学界的变革性数据密集型资源

• 批准号: 1341711
• 负责人: Daniel Stanzione
• 金额: $ 600万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-11-01 至 2020-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1341711&HistoricalAwards=false
• 关键词: Wrangler; Transformational; Data; Intensive; Resource

This award is to fund a transformational data intensive resource for the open science community called Wrangler. Big data is creating tremendous new scientific opportunities, but also many new challenges for data-driven science. The computational needs of large-scale data-driven science vary across domains and applications but there are some requirements that are widely applicable: capacious, high performance, reliable data storage; support for diverse data types and access methods; and support for embedded analytics that eliminate costly data movement. Wrangler is a high performance system with an innovative embedded data analytics capability that far exceeds the capabilities available to the open science community today. It contains massive data storage, which can be expanded if required, high performance, and support for both structured and unstructured data. The storage is configured for ultra-high reliability using replication at two locations, unprecedented analytics capabilities and innovative NAND flash storage. The resource contains 3000 next generation Intel Haswell cores, offering the most powerful embedded analytics capabilities in the world for a wide range of data intensive science. Wrangler will be connected at 100 Gbps to Internet2, the fastest available connection to the biggest research network. The project will also offer a data docking service for receiving and ingesting data shipped on physical media. Augmented by Stampede & XSEDE, Wranglers capabilities will be enhanced through tight integration to TACC?s Stampede supercomputer, and through TACC to other XSEDE resources.

该奖项旨在资助开放科学社区的转型数据密集型资源，称为Wrangler。大数据正在创造巨大的新科学机遇，但也为数据驱动的科学带来了许多新的挑战。大规模数据驱动科学的计算需求因领域和应用而异，但有一些要求是广泛适用的：容量大，高性能，可靠的数据存储;支持多种数据类型和访问方法;支持嵌入式分析，消除昂贵的数据移动。 Wrangler是一个高性能系统，具有创新的嵌入式数据分析能力，远远超过了当今开放科学社区的能力。 它包含大量数据存储，可根据需要扩展，高性能，并支持结构化和非结构化数据。 存储配置为超高可靠性，使用两个位置的复制，前所未有的分析功能和创新的NAND闪存存储。 该资源包含3000个下一代英特尔Haswell内核，为广泛的数据密集型科学提供世界上最强大的嵌入式分析功能。Wrangler将以100 Gbps的速度连接到Internet 2，这是最大的研究网络的最快连接。该项目还将提供数据对接服务，用于接收和接收物理介质上传输的数据。通过踩踏XSEDE增强，牧马人的能力将通过紧密集成到TACC？的Stampede超级计算机，并通过TACC到其他XSEDE资源。