II-New: A Platform for Data-Parallel GPU Computing at Princeton
II-New:普林斯顿大学的数据并行 GPU 计算平台
基本信息
- 批准号:1205613
- 负责人:
- 金额:$ 35万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-09-01 至 2015-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This is an Institutional Infrastructure proposal to build a GPU cluster to support research in data-parallel code development and optimization, as well as research applications, in three scientific domains, namely, seismology, biology and astrophysics. These goals build on a close collaboration with an expert team in GPU computing from computer science. The proposed cluster will serve not only as an invaluable resource for computation, but will also aid cross-fostering of techniques and concepts between disciplines and will be used to stimulate collaboration and synergistic research activity in a wide range of areas.Even though domain scientists are increasingly dependent on computation to achieve their research goals, most are not experts in parallel programming or GPU architectures. The difficulty of parallel programming for GPU clusters is an impediment to scientific progress. In order to relieve scientists of the burdens of parallel programming, computer scientists at Princeton have developed systems for automatically parallelizing programs for GPU. Building on this success, the PIs plan to extend these techniques to GPU clusters and work closely with the seismologists, biologists and astrophysicists to accelerate the pace of science.
这是一项机构基础设施提案,旨在构建GPU集群,以支持地震学、生物学和天体物理学三个科学领域的数据并行代码开发和优化研究以及研究应用。这些目标建立在与计算机科学GPU计算专家团队的密切合作基础上。该集群不仅将成为计算的宝贵资源,还将有助于跨学科技术和概念的交叉培养,并将用于促进广泛领域的合作和协同研究活动。尽管领域科学家越来越依赖计算来实现他们的研究目标,但大多数人并不擅长并行编程或GPU架构。GPU集群并行编程的困难是科学进步的障碍。为了减轻科学家的并行编程的负担,普林斯顿大学的计算机科学家开发了自动并行GPU程序的系统。在这一成功的基础上,PI计划将这些技术扩展到GPU集群,并与地震学家、生物学家和天体物理学家密切合作,以加快科学的步伐。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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David August其他文献
David August的其他文献
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{{ truncateString('David August', 18)}}的其他基金
Collaborative Research: SHF: Medium: Collaborative Automatic Parallelization
协作研究:SHF:中:协作自动并行化
- 批准号:
2107257 - 财政年份:2021
- 资助金额:
$ 35万 - 项目类别:
Continuing Grant
Collaborative Research: PPoSS: Planning: A Disciplined Approach to Scaling in the Post-Moore’s Law Era
合作研究:PPoSS:规划:后摩尔定律时代扩展的有纪律的方法
- 批准号:
2119070 - 财政年份:2021
- 资助金额:
$ 35万 - 项目类别:
Standard Grant
SHF: Small: The Whole Program Critical Path Approach to Parallelism
SHF:小:整个程序的并行关键路径方法
- 批准号:
1814654 - 财政年份:2018
- 资助金额:
$ 35万 - 项目类别:
Standard Grant
XPS: EXPL: CCA: A Framework for Portable Parallel Performance
XPS:EXPL:CCA:便携式并行性能框架
- 批准号:
1439085 - 财政年份:2014
- 资助金额:
$ 35万 - 项目类别:
Standard Grant
SaTC: An Architecture for Restoring Trust in Our Personal Computing Systems
SaTC:恢复个人计算系统信任的架构
- 批准号:
1441650 - 财政年份:2014
- 资助金额:
$ 35万 - 项目类别:
Standard Grant
SI2-SSI: Accelerating the Pace of Research through Implicitly Parallel Programming
SI2-SSI:通过隐式并行编程加快研究步伐
- 批准号:
1047879 - 财政年份:2010
- 资助金额:
$ 35万 - 项目类别:
Standard Grant
CSR: Medium: Collaborative Research: Scaling the Implicitly Parallel Programming Model with Lifelong Thread Extraction and Dynamic Adaptation
CSR:中:协作研究:通过终身线程提取和动态适应扩展隐式并行编程模型
- 批准号:
0964328 - 财政年份:2010
- 资助金额:
$ 35万 - 项目类别:
Continuing Grant
SGER: A Hybrid Approach for Petascale Computing: Accelerating Scientific
SGER:千万亿级计算的混合方法:加速科学发展
- 批准号:
0849512 - 财政年份:2009
- 资助金额:
$ 35万 - 项目类别:
Standard Grant
CPA-CPL-T: Collaborative Research: Revisiting the Sequential Programming Model for Multicore Systems
CPA-CPL-T:协作研究:重新审视多核系统的顺序编程模型
- 批准号:
0811580 - 财政年份:2008
- 资助金额:
$ 35万 - 项目类别:
Standard Grant
CSR---EHS: Software-Modulated Fault Tolerance
CSR---EHS:软件调制容错
- 批准号:
0615250 - 财政年份:2006
- 资助金额:
$ 35万 - 项目类别:
Continuing Grant
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