Wrangler: A Transformational Data Intensive Resource for the Open Science Community
Wrangler: A Transformational Data Intensive Resource for the Open Science Community
批准号:
1341711
负责人:
Daniel Stanzione
金额:
$600.0万
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
项目状态:
已结题
起止时间:
2013-11-01 至 2020-10-31
中文摘要
该奖项是为了资助一个名为“牧马人”的开放科学社区的转型数据密集型资源。大数据正在创造巨大的新的科学机遇,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:大容量、高性能、可靠的数据存储;支持多种数据类型和访问方法;以及对嵌入式分析的支持,消除了昂贵的数据移动。牧马人是一个高性能系统,具有创新的嵌入式数据分析能力,远远超过当今开放科学社区的能力。它包含大量数据存储(如果需要可以扩展)、高性能以及对结构化和非结构化数据的支持。该存储配置具有超高可靠性,使用两个位置的复制,前所未有的分析能力和创新的NAND闪存。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。牧马人将以100gbps的速度连接到互联网2,这是连接最大研究网络的最快速度。该项目还将提供数据对接服务,用于接收和摄取物理介质上传输的数据。通过Stampede和XSEDE的增强,牧马人的能力将通过与TACC的紧密集成得到增强。Stampede超级计算机,并通过TACC连接到其他XSEDE资源。
英文摘要
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.
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批准号:2212090
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资助金额:$350.0万
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批准号:2033468
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资助金额:$350.0万
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批准号:2027176
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资助金额:$300.1万
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负责人:Daniel Stanzione
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依托单位:
Planning for the Leadership-Class Computing Facility
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批准号:1925096
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项目类别:Cooperative Agreement
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资助金额:$200.0万
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财政年份:2019
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负责人:Daniel Stanzione
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依托单位:
Planning for the Leadership-Class Computing Facility
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批准号:1940979
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项目类别:Cooperative Agreement
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资助金额:$0.0万
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财政年份:2019
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负责人:Daniel Stanzione
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依托单位:
Operations & Maintenance for the Endless Frontier
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批准号:1854828
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项目类别:Cooperative Agreement
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资助金额:$6000.0万
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财政年份:2019
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负责人:Daniel Stanzione
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依托单位:
Computation for the Endless Frontier
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批准号:1818253
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项目类别:Cooperative Agreement
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资助金额:$6000.0万
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财政年份:2018
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负责人:Daniel Stanzione
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依托单位:
Stampede 2: Operations and Maintenance for the Next Generation of Petascale Computing
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批准号:1663578
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项目类别:Cooperative Agreement
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资助金额:$2400.0万
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财政年份:2017
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负责人:Daniel Stanzione
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依托单位:
Collaborative Research: Chameleon: A Large-Scale, Reconfigurable Experimental Environment for Cloud Research
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批准号:1743354
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项目类别:Cooperative Agreement
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资助金额:$353.92万
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财政年份:2017
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负责人:Daniel Stanzione
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依托单位:
Stampede 2: The Next Generation of Petascale Computing for Science and Engineering
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批准号:1540931
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项目类别:Cooperative Agreement
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资助金额:$3000.0万
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财政年份:2016
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依托单位:
Collaborative Research: Chameleon: A Large-Scale, Reconfigurable Experimental Environment for Cloud Research
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资助金额:$571.35万
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财政年份:2014
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依托单位:
Collaborative Research: The Science Gateway Institute (SGW-I) for the Democratization and Acceleration of Science
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项目类别:Standard Grant
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资助金额:$6.5万
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财政年份:2012
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依托单位:
Increasing Student Participation in Cluster Computing through IEEE Cluster 2011 Attendance
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批准号:1152113
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资助金额:$3.5万
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财政年份:2011
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依托单位:
Enabling, Enhancing, and Extending Petascale Computing for Science and Engineering
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批准号:1134872
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项目类别:Cooperative Agreement
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资助金额:$2750.0万
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财政年份:2011
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负责人:Daniel Stanzione
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依托单位:
GDBase: An Engine for Scalable offline Debugging
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项目类别:Standard Grant
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资助金额:$30.21万
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财政年份:2009
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负责人:Daniel Stanzione
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依托单位:
GDBase: An Engine for Scalable offline Debugging
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批准号:1019055
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项目类别:Standard Grant
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资助金额:$30.21万
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财政年份:2009
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依托单位:
海外基金