Collaborative Research: CRI: IAD: Development of a Research Infrastructure
合作研究:CRI:IAD:研究基础设施的开发
基本信息
- 批准号:0708307
- 负责人:
- 金额:$ 5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2007
- 资助国家:美国
- 起止时间:2007-08-01 至 2012-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Abstract Proposal #: CNS 07-09140 07-08307 07-08820 PI(s): Brockman, Jay B. Bader, David A. Gao, Guang R. Barabasi,Albert-Laszlo;Chawla,Nitesh;Kogge,PeterM. Vetter, Jeffrey S. Institution: University of Notre Dame Georgia Institute Tech U.Delaware Notre Dame, IN 46556-5602 Atlanta, GA 30332-0002 Newark, DE 19716-1551 Proposal #: CNS 07-09385 07-09111 07-09254 PI(s): Gilbert, John R. Upchurch, Edwin T. Yelick, Katherine A. Wolski, Richard. Institution: UC-Santa Barbara California Inst Tech UC-Berkeley Santa Barbara, CA 93106-2050 Pasadena, CA 91125-0600 Berkeley, CA 94704-5940 Title: Colla Rsch:IAD:Dev Rsch Infr. for Multithreaded Computing Community Using Cray Eldorado Platform Project Proposed: This collaborative project, developing a shared infrastructure needed to broaden its impact for developing software to run on the next generation of computer hardware, brings a diverse group of researchers from six universities in a joint effort. The work responds to the trend towards multicore processors where developers envision placing tens to hundreds of cores on a single die, each running multiple threads (in contrast to the currently dominant message-passing architectures resulting from the advent of MPI and Linux clusters). Three objectives are proposed: . Acquiring computer hardware as a shared community resource capable of efficiently running, in experimental and production modes, complex programs with thousands of threads in shared memory; . Assembling software infrastructure for developing and measuring performance of programs running on the hardware; and . Building stronger ties between the people themselves, creating ways for researchers at the partner institutions to collaborate and communicate their findings to the broader community. The Cray XMT system, scheduled for delivery in 2007 serves as an ideal platform. The second bullet includes algorithms, data sets, libraries, languages, tools, and simulators to evaluate performance of program running on the hardware focusing on applications that benefit from large numbers of threats, massively data intensive, "sparse-graph" problems that are difficult to parallelize using conventional message-passing on clusters. Each university contributes a piece to the infrastructure, using it for support of projects. Sandia National Laboratories has agreed to host the system and provide supplementary funding. Each university will use the Cray XMT system in courses. Broader Impacts: The infrastructure measures performance providing a basis for the community to improve sharin, and build strong ties for collaboration and communication. Courses will be created and materials will be made available. Workshops for dissemination of the findings are also planned.
摘要建议#:CNS 07-09140 07-08307 07-08820 PI(S):Brockman,Jay B. Bader,David A. Gao,Guang R. Barabasi,Albert-Laszlo; Chawla; Chawla; Nitesh,Nitesh; Kogge,Kogge,Peterm。 Vetter,Jeffrey S.机构:圣母大学佐治亚大学Institute Tech U.Delaware Notre Dame,46556-5602 Atlanta,GA 30332-0002 Newark,De 19716-1551提案#:CNS 07-09385 07-09385 07-091111 07-09111 07-07-09--09--09254 PI(S) T. Yelick,Katherine A. Wolski,理查德。机构:加利福尼亚州加利福尼亚州加利福尼亚州加利福尼亚州加利福尼亚州加利福尼亚州加利福尼亚州加利福尼亚州圣塔芭芭拉,CA 93106-2050 PASADENA,CA 91125-0600 BERKELEY,CA 94704-5940标题:Colla RSCH:Colla RSCH:IAD:IAD:DEV RSCH INFR。对于使用Cray Eldorado平台项目的多线程计算社区,提出了该协作项目,开发了一个共同的基础架构,以扩大其对开发软件的影响,以在下一代计算机硬件上运行,从而将来自六所大学的一群研究人员付诸实践。这项工作响应了多核心处理器的趋势,开发人员设想将数十至数百个核心放在单个模具上,每个线程都运行多个线程(与MPI和Linux群集出现的当前占主导地位的消息相反)。提出了三个目标:。将计算机硬件作为一种共享社区资源,能够在实验和生产模式下有效运行,复杂的程序,在共享内存中具有成千上万个线程; 。组装软件基础架构,用于开发和衡量硬件运行程序的性能;和 。在人民本身之间建立更牢固的联系,为合作伙伴机构的研究人员创造方式,以合作并将其发现与更广泛的社区传达。计划于2007年进行交付的Cray XMT系统是一个理想的平台。第二个子弹包括算法,数据集,库,语言,工具和模拟器,以评估在硬件上运行的程序的性能,重点是从大量威胁,大量数据密集型,稀疏图,“稀疏图”中受益的应用程序,这些问题难以通过在群集上使用常规消息并行并行处理。每所大学都使用它来支持项目。桑迪亚国家实验室已同意接待该系统并提供补充资金。每所大学将在课程中使用Cray XMT系统。更广泛的影响:基础设施衡量绩效为社区改善Sharin提供了基础,并建立了与协作和沟通建立牢固的联系。将创建课程,并提供材料。还计划了传播调查结果的研讨会。
项目成果
期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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David Bader其他文献
The effect of combined spinal-epidural anesthesia versus general anesthesia on the recovery time of intestinal function in young infants undergoing intestinal surgery: a randomized, prospective, controlled trial
- DOI:
10.1016/j.jclinane.2012.02.004 - 发表时间:
2012-09-01 - 期刊:
- 影响因子:
- 作者:
Mostafa Somri;Ibrahim Matter;Constantinos A. Parisinos;Ron Shaoul;Jorge G. Mogilner;David Bader;Eldar Asphandiarov;Luis A. Gaitini - 通讯作者:
Luis A. Gaitini
Investigating an interchangeable potential between heart and gut mesothelial development
- DOI:
10.1016/j.ydbio.2011.05.236 - 发表时间:
2011-08-01 - 期刊:
- 影响因子:
- 作者:
Rebecca T. Thomason;Niki Winters;Emily Cross;David Bader - 通讯作者:
David Bader
Unintended Consequence: Diversity as a Casualty of Eliminating United States Medical Licensing Examination Step 1 Scores
- DOI:
10.1016/j.jacr.2023.07.019 - 发表时间:
2023-11-01 - 期刊:
- 影响因子:
- 作者:
Felipe M. Campos;Lars J. Grimm;Charles M. Maxfield;Sabina Amin;David Bader;Brooke Beckett;Kevin Carter;Teresa Chapman;Bernard Chow;Amanda Derylo;Francis Flaherty;Michael Fox;Jennifer Gould;Robert Groves;Darel Heitkamp;John Heymann;Christopher Ho;Marion Hughes;Nathan Hull;Abtin Jafroodifar - 通讯作者:
Abtin Jafroodifar
Local cues influence atrial and ventricular differentiation of precardiac mesoderm
- DOI:
10.1016/s0022-2828(87)80673-9 - 发表时间:
1987-01-01 - 期刊:
- 影响因子:
- 作者:
Jonathan Satin;David Bader;Robert L. DeHaan - 通讯作者:
Robert L. DeHaan
David Bader的其他文献
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{{ truncateString('David Bader', 18)}}的其他基金
EAGER:High Performance Algorithms for Interactive Data Science at Scale
EAGER:大规模交互式数据科学的高性能算法
- 批准号:
2109988 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Collaborative Research:PPoSS:Planning: Streamware - A Scalable Framework for Accelerating Streaming Data Science
合作研究:PPoSS:规划:Streamware - 加速流数据科学的可扩展框架
- 批准号:
2118458 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Collaborative Research: PPoSS: Planning: Extreme-scale Sparse Data Analytics
协作研究:PPoSS:规划:超大规模稀疏数据分析
- 批准号:
2118385 - 财政年份:2021
- 资助金额:
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- 批准号:
1535058 - 财政年份:2015
- 资助金额:
$ 5万 - 项目类别:
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合作研究:IEEE IPDPS 会议学生参与支持
- 批准号:
1362300 - 财政年份:2014
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
EAGER: Collaborative Research: Using PDE Descriptions to Generate Code Precisely Tailored to Energy-Constrained Systems Including Large GPU Accelerated Clusters
EAGER:协作研究:使用偏微分方程描述生成专门针对能源受限系统(包括大型 GPU 加速集群)定制的代码
- 批准号:
1265434 - 财政年份:2013
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
SI2-SSI: Collaborative: The XScala Project: A Community Repository for Model-Driven Design and Tuning of Data-Intensive Applications for Extreme-Scale Accelerator-Based Systems
SI2-SSI:协作:XScala 项目:用于基于超大规模加速器的系统的模型驱动设计和数据密集型应用程序调整的社区存储库
- 批准号:
1339745 - 财政年份:2013
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Collaborative Research: Software Infrastructure for Accelerating Grand Challenge Science with Future Computing Platforms
协作研究:利用未来计算平台加速重大挑战科学的软件基础设施
- 批准号:
1216504 - 财政年份:2012
- 资助金额:
$ 5万 - 项目类别:
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Collaborative Research: Understanding Whole-genome Evolution through Petascale Simulation
合作研究:通过千万亿次模拟了解全基因组进化
- 批准号:
0904461 - 财政年份:2009
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$ 5万 - 项目类别:
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Collaborative Research: Establishing an I/UCRC Center for Multicore Productivity Research (CMPR)
合作研究:建立 I/UCRC 多核生产力研究中心 (CMPR)
- 批准号:
0831110 - 财政年份:2008
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
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