XPS: FULL:CCA: Extracting Scalable Parallelism by Relaxing the Contracts across the System Stack
XPS:FULL:CCA:通过放松整个系统堆栈的契约来提取可扩展的并行性
基本信息
- 批准号:1439021
- 负责人:
- 金额:$ 85万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-08-01 至 2019-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Technology scaling trends have made parallelism the de-facto standard for enhancing performance across a spectrum of computing environments spanning from high-end computing to embedded platforms. Yet, the software is woefully lagging in its ability to extract usable parallelism offered by the underlying hardware platforms primarily because of the compartmentalized contracts between the different layers of the system stack. Rigid contracts restrict the ability to leverage a rich design space of performance/power/correctness trade-offs within and across layers, that could be achievable by straying slightly from the contract. Although such a relaxed contract, referred to as approximate computing, has received attention recently, much of the work in this area is still compartmentalized and lacks a holistic cross-layer strategy to maximize parallelism, while adhering to power and correctness mandates. Thus, the motivation of this project is to explore a holistic cross-layer approach to approximate computing spanning application, runtime system, compiler and hardware, thereby breaking the rigidity of the contracts between the layers, while still allowing them to cooperate for extracting the achievable parallelism across a diverse set of applications in both the high-end and mobile computing environments. Specifically, it involves application-level analysis of the scope of approximation for computation, data access and synchronization, designing efficient hardware mechanisms that could facilitate and benefit from approximation, and developing compiler and runtime support for expressing, exploiting and evaluating/validating the approximations in an architecture-aware fashion. This cross-layer approach to approximate computing is expected to play a crucial role towards achieving scalable parallelism for the next decade and beyond, with a potentially high impact to the computing industry. In addition, the tools and models developed from this project are disseminated in the public domain to a broader research community, and the PIs engage in a variety of outreach activities such as recruiting women and minority and involvement of local high school students through Penn State Eberly College's Exploration-U initiatives.
技术扩展趋势已经使并行性成为事实上的标准,用于提高从高端计算到嵌入式平台的各种计算环境的性能。然而,软件在提取底层硬件平台提供的可用并行性方面严重滞后,这主要是因为系统堆栈不同层之间的划分合同。刚性契约限制了在层内和层间利用丰富的性能/功耗/正确性权衡设计空间的能力,这可以通过稍微偏离契约来实现。虽然这种被称为近似计算的宽松契约最近受到了关注,但这一领域的大部分工作仍然是划分的,缺乏一个整体的跨层策略来最大限度地提高并行性,同时坚持权力和正确性要求。 因此,这个项目的动机是探索一个整体的跨层方法,以近似计算跨越应用程序,运行时系统,编译器和硬件,从而打破了刚性的合同层之间,同时仍然允许他们合作,提取可实现的并行跨不同的应用程序集在高端和移动的计算环境。具体来说,它涉及到应用程序级的分析范围的近似计算,数据访问和同步,设计高效的硬件机制,可以促进和受益于近似,并开发编译器和运行时支持表达,利用和评估/验证的近似在一个架构感知的方式。这种跨层近似计算方法预计将在未来十年及以后实现可扩展并行性方面发挥关键作用,对计算行业具有潜在的重大影响。此外,从这个项目开发的工具和模型在公共领域传播到更广泛的研究界,PI参与各种外联活动,如招募妇女和少数民族,并通过宾夕法尼亚州立大学Eberly学院的Exploration-U倡议让当地高中生参与。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Getting more performance with polymorphism from emerging memory technologies
- DOI:10.1145/3319647.3325826
- 发表时间:2019-05
- 期刊:
- 影响因子:0
- 作者:Iyswarya Narayanan;Aishwarya Ganesan;Anirudh Badam;Sriram Govindan;Bikash Sharma;A. Sivasubramaniam
- 通讯作者:Iyswarya Narayanan;Aishwarya Ganesan;Anirudh Badam;Sriram Govindan;Bikash Sharma;A. Sivasubramaniam
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Mahmut Kandemir其他文献
Particle simulation on the Cell BE architecture
- DOI:
10.1007/s10586-011-0169-4 - 发表时间:
2011-07-27 - 期刊:
- 影响因子:4.100
- 作者:
Betul Demiroz;Haluk R. Topcuoglu;Mahmut Kandemir;Oguz Tosun - 通讯作者:
Oguz Tosun
A case for core-assisted bottleneck acceleration in GPUs
GPU 中核心辅助瓶颈加速的案例
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Nandita Vijaykumar;Gennady Pekhimenko;Adwait Jog;A. Bhowmick;Rachata Ausavarungnirun;Chita R. Das;Mahmut Kandemir;T. Mowry;O. Mutlu - 通讯作者:
O. Mutlu
Optimizing Leakage Energy Consumption in Cache Bitlines
- DOI:
10.1007/s10617-005-5345-4 - 发表时间:
2004-03-01 - 期刊:
- 影响因子:0.900
- 作者:
Soontae Kim;Narayanan Vijaykrishnan;Mahmut Kandemir;Mary Jane Irwin - 通讯作者:
Mary Jane Irwin
Time-constrained optimization of multi-AUV cooperative mine detection
多AUV协同探雷的时间约束优化
- DOI:
10.1109/oceans.2008.5151971 - 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
R. Prins;Mahmut Kandemir - 通讯作者:
Mahmut Kandemir
An I/O-Conscious Tiling Strategy for Disk-Resident Data Sets
- DOI:
10.1023/a:1014156327748 - 发表时间:
2002-01-01 - 期刊:
- 影响因子:2.700
- 作者:
Mahmut Kandemir;Alok Choudhary;J. Ramanujam - 通讯作者:
J. Ramanujam
Mahmut Kandemir的其他文献
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{{ truncateString('Mahmut Kandemir', 18)}}的其他基金
Collaborative Research: CNS Core: Small: Resource-efficient, Strongly Consistent Replication for the Cloud
合作研究:CNS 核心:小型:资源高效、强一致性的云复制
- 批准号:
2149389 - 财政年份:2022
- 资助金额:
$ 85万 - 项目类别:
Standard Grant
PPoSS: Planning: Cross-Layer Design for Cost-Effective HPC in the Cloud
PPoSS:规划:云中经济高效 HPC 的跨层设计
- 批准号:
2028929 - 财政年份:2020
- 资助金额:
$ 85万 - 项目类别:
Standard Grant
SaTC: CORE: Small: Automatic Software Patching against Microarchitectual Attacks
SaTC:核心:小型:针对微架构攻击的自动软件修补
- 批准号:
1956032 - 财政年份:2020
- 资助金额:
$ 85万 - 项目类别:
Standard Grant
SHF: Small: Characterizing and Optimizing 3D NAND Flash
SHF:小型:表征和优化 3D NAND 闪存
- 批准号:
1908793 - 财政年份:2019
- 资助金额:
$ 85万 - 项目类别:
Standard Grant
Frameworks: Re-Engineering Galaxy for Performance, Scalability and Energy Efficiency
框架:重新设计 Galaxy 以提高性能、可扩展性和能源效率
- 批准号:
1931531 - 财政年份:2019
- 资助金额:
$ 85万 - 项目类别:
Standard Grant
XPS: FULL: A Fresh Look at Near Data Computing: Coordinated Data and Computation Government
XPS:完整:近数据计算的新视角:协调数据和计算政府
- 批准号:
1629129 - 财政年份:2016
- 资助金额:
$ 85万 - 项目类别:
Standard Grant
CSR: Medium: Collaborative Research: Enabling GPUs as First-Class Computing Engines
CSR:媒介:协作研究:使 GPU 成为一流的计算引擎
- 批准号:
1409095 - 财政年份:2014
- 资助金额:
$ 85万 - 项目类别:
Continuing Grant
SHF: Medium: Breaking the Physical Divide between Computation and NAND-Flash Storage
SHF:媒介:打破计算和 NAND 闪存存储之间的物理鸿沟
- 批准号:
1302557 - 财政年份:2013
- 资助金额:
$ 85万 - 项目类别:
Continuing Grant
SHF: Medium: Automatic Control Driven Resource Management in Chip Multiprocessors
SHF:中:芯片多处理器中自动控制驱动的资源管理
- 批准号:
0963839 - 财政年份:2010
- 资助金额:
$ 85万 - 项目类别:
Continuing Grant
Collaborative Research: Adaptive Techniques for Achieving End-to-End QoS in the I/O Stack on Petascale Multiprocessors
协作研究:在千万级多处理器上的 I/O 堆栈中实现端到端 QoS 的自适应技术
- 批准号:
0937949 - 财政年份:2009
- 资助金额:
$ 85万 - 项目类别:
Standard Grant
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钴基Full-Heusler合金的掺杂效应和薄膜噪声特性研究
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- 批准年份:2018
- 资助金额:60.0 万元
- 项目类别:面上项目
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