Collaborative Research: Variability-Aware Software for Efficient Computing with Nanoscale Devices

协作研究:利用纳米级设备进行高效计算的可变性感知软件

基本信息

  • 批准号:
    1028831
  • 负责人:
  • 金额:
    $ 75万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2010
  • 资助国家:
    美国
  • 起止时间:
    2010-09-01 至 2017-08-31
  • 项目状态:
    已结题

项目摘要

Abstract: The Variability ExpeditionProject: Variability-Aware Software for Efficient Computing with Nanoscale DevicesAs semiconductor manufacturers build ever smaller components, circuits and chips at the nano scale become less reliable and more expensive to produce ? no longer behaving like precisely chiseled machines with tight tolerances. Modern computing is effectively ignorant of the variability in behavior of underlying system components from device to device, their wear-out over time, or the environment in which the computing system is placed. This makes them expensive, fragile and vulnerable to even the smallest changes in the environment or component failures. We envision a computing world where system components -- led by proactive software -- routinely monitor, predict and adapt to the variability of manufactured systems. Changing the way software interacts with hardware offers the best hope for perpetuating the fundamental gains in computing performance at lower cost of the past 40 years. The Variability Expedition fundamentally rethinks the rigid, deterministic hardware-software interface, to propose a new class of computing machines that are not only adaptive but also highly energy efficient. These machines will be able to discover the nature and extent of variation in hardware, develop abstractions to capture these variations, and drive adaptations in the software stack from compilers, runtime to applications. The resulting computer systems will work and continue working while using components that vary in performance or grow less reliable over time and across technology generations. A fluid software-hardware interface will thus mitigate the variability of manufactured systems and make machines robust, reliable and responsive to the changing operating conditions.The Variability Expedition marshals the resources of researchers at the California Institute for Telecommunications and Information Technology (Calit2) at UC San Diego and UC Irvine, as well as UCLA, University of Michigan, Stanford and University of Illinois at Urbana-Champaign. With expertise in process technology, architecture, and design tools on the hardware side, and in operating systems, compilers and languages on the software side, the team also has the system implementation and applications expertise needed to drive and evaluate the research as well as transition the research accomplishments into practice via application drivers in wireless sensing, software radio and mobile platforms. A successful Expedition will dramatically change the computing landscape. By re-architecting software to work in a world where monitoring and adaptation are the norm, it will achieve more robust, efficient and affordable systems that are able to predict and withstand not only hardware failures, but other kinds of software bugs or even attacks. The new paradigm will apply across the entire spectrum of embedded, mobile, desktop and server-class computing machines, yielding particular gains in sensor information processing, multimedia rendering, software radios, search, medical imaging and other important applications. Transforming the relationship between hardware and software presents valuable opportunities to integrate research and education, and this Expedition will build on established collaborations with educator-partners in formal and informal arenas to promote interdisciplinary teaching, training, learning and research. The team has built strong industrial and community outreach ties to ensure success and reach out to high-school students through a combination of tutoring and summer school programs. The Variability Expedition will engage undergraduate and graduate students in software, hardware and systems research, while promoting participation by underrepresented groups at all levels and broadly disseminating results within academia and industry.
摘要:可变性探险项目:利用纳米级器件进行高效计算的可变性感知软件随着半导体制造商制造出越来越小的元件,纳米级的电路和芯片变得越来越不可靠,生产成本也越来越高?不再像具有严格公差的精确雕刻机器。现代计算实际上忽略了不同设备之间底层系统组件的行为变化、它们随时间的磨损或计算系统所处的环境。这使得它们昂贵、脆弱,并且容易受到环境或组件故障的最小变化的影响。我们设想一个计算世界,其中由主动软件主导的系统组件可以定期监控、预测和适应制造系统的变化。改变软件与硬件交互的方式为以较低的成本保持过去 40 年来计算性能的根本进步提供了最好的希望。可变性探险从根本上重新思考了严格的、确定性的硬件-软件接口,提出了一种不仅具有自适应性而且具有高能效的新型计算机器。这些机器将能够发现硬件变化的性质和程度,开发抽象来捕获这些变化,并推动软件堆栈从编译器、运行时到应用程序的适应。由此产生的计算机系统将工作并继续工作,同时使用性能变化或随着时间的推移和跨技术世代而变得不太可靠的组件。因此,流畅的软件-硬件接口将减轻制造系统的可变性,并使机器坚固、可靠并能够响应不断变化的操作条件。可变性探险汇集了加州大学加州电信和信息技术研究所 (Calit2) 研究人员的资源圣地亚哥大学和加州大学欧文分校,以及加州大学洛杉矶分校、密歇根大学、斯坦福大学和伊利诺伊大学厄巴纳-香槟分校。凭借硬件方面的工艺技术、架构和设计工具以及软件方面的操作系统、编译器和语言方面的专业知识,该团队还拥有推动和评估研究以及过渡所需的系统实施和应用专业知识通过无线传感、软件无线电和移动平台的应用驱动将研究成果转化为实践。一次成功的探险将极大地改变计算领域。通过重新架构软件以在监控和适应成为常态的世界中工作,它将实现更强大、更高效和更经济的系统,这些系统不仅能够预测和抵御硬件故障,还能够预测和抵御其他类型的软件错误甚至攻击。新的范式将适用于整个嵌入式、移动、桌面和服务器级计算机,在传感器信息处理、多媒体渲染、软件无线电、搜索、医学成像和其他重要应用中产生特别的收益。改变硬件和软件之间的关系为整合研究和教育提供了宝贵的机会,这次探险将建立在正式和非正式领域与教育合作伙伴建立的合作基础上,以促进跨学科教学、培训、学习和研究。该团队建立了牢固的行业和社区外展联系,以确保成功并通过辅导和暑期学校项目的结合来接触高中生。变异性探险将吸引本科生和研究生参与软件、硬件和系统研究,同时促进各级代表性不足的群体的参与,并在学术界和工业界广泛传播研究结果。

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)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Subhasish Mitra其他文献

Dendrite-inspired Computing to Improve Resilience of Neural Networks to Faults in Emerging Memory Technologies
树突启发计算可提高神经网络对新兴内存技术故障的恢复能力
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    L. K. John;F. M. G. França;Subhasish Mitra;Zachary Susskind;P. M. V. Lima;Igor D. S. Miranda;E. B. John;Diego L. C. Dutra;M. Breternitz
  • 通讯作者:
    M. Breternitz
Cooling future system-on-chips with diamond inter-tiers
使用金刚石中间层冷却未来片上系统
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    8.9
  • 作者:
    M. Malakoutian;Anna Kasperovich;Dennis Rich;Kelly Woo;Christopher Perez;R. Soman;Devansh Saraswat;Jeong;Maliha Noshin;Michelle Chen;Sam Vaziri;Xinyu Bao;Che Chi Shih;W. Woon;M. Asheghi;Kenneth E. Goodson;S. Liao;Subhasish Mitra;Srabanti Chowdhury
  • 通讯作者:
    Srabanti Chowdhury
Efficient seed utilization for reseeding based compression [logic testing]
基于重新播种的压缩的高效种子利用[逻辑测试]

Subhasish Mitra的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Subhasish Mitra', 18)}}的其他基金

Collaborative Research: SHF: Small: Quasi Weightless Neural Networks for Energy-Efficient Machine Learning on the Edge
合作研究:SHF:小型:用于边缘节能机器学习的准失重神经网络
  • 批准号:
    2326895
  • 财政年份:
    2023
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
FuSe-TG: The Future of Semiconductor Technologies for Computing through Device-Architecture-Application Co-Design
FuSe-TG:通过设备-架构-应用协同设计进行计算的半导体技术的未来
  • 批准号:
    2235329
  • 财政年份:
    2023
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
E2CDA: Type I: Collaborative Research: Energy Efficient Learning Machines (ENIGMA)
E2CDA:类型 I:协作研究:节能学习机 (ENIGMA)
  • 批准号:
    1640078
  • 财政年份:
    2016
  • 资助金额:
    $ 75万
  • 项目类别:
    Continuing Grant
Collaborative Research: Visual Cortex on Silicon
合作研究:硅上视觉皮层
  • 批准号:
    1317470
  • 财政年份:
    2013
  • 资助金额:
    $ 75万
  • 项目类别:
    Continuing Grant
Cross-Layer Resilience Exploration
跨层弹性探索
  • 批准号:
    1255821
  • 财政年份:
    2013
  • 资助金额:
    $ 75万
  • 项目类别:
    Continuing Grant
Workshop: Bugs and Defects in Electronic Systems: The Next Frontier
研讨会:电子系统中的错误和缺陷:下一个前沿
  • 批准号:
    1341270
  • 财政年份:
    2013
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
SHF:Medium:Collaborative Research: AgeELESS: Aging Estimation and Lifetime Enhancement in Silicon Systems
SHF:中:合作研究:AgeELESS:硅系统中的老化估计和寿命增强
  • 批准号:
    1161332
  • 财政年份:
    2012
  • 资助金额:
    $ 75万
  • 项目类别:
    Continuing Grant
II-NEW: Robust Carbon Nanotube Technology for Energy-Efficient Computing Systems: A Processing and Design Infrastructure for Emerging Nanotechnologies
II-新:用于节能计算系统的稳健碳纳米管技术:新兴纳米技术的处理和设计基础设施
  • 批准号:
    1059020
  • 财政年份:
    2011
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
Collaborative Research: Globally Optimized Robust Systems on Multi-Core Hardware
协作研究:多核硬件上的全局优化鲁棒系统
  • 批准号:
    0903459
  • 财政年份:
    2009
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
Collaborative Research:Design, Modeling, Automation and Experimentation of Nanoscale Computing Fabric using Carbon Nanotubes
合作研究:使用碳纳米管的纳米级计算结构的设计、建模、自动化和实验
  • 批准号:
    0726791
  • 财政年份:
    2007
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant

相似国自然基金

敲除tardbp导致同源基因tardbpl可变性剪接的机制研究
  • 批准号:
  • 批准年份:
    2022
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
肺癌低剂量CT影像组学特征可变性优化的关键技术研究
  • 批准号:
  • 批准年份:
    2021
  • 资助金额:
    55 万元
  • 项目类别:
    面上项目
基于PD-L1活性位点可变性的小分子抑制剂发现及抗肿瘤活性研究
  • 批准号:
    81903455
  • 批准年份:
    2019
  • 资助金额:
    21.0 万元
  • 项目类别:
    青年科学基金项目
lncRNA LINC02418募集SRSF3调控PDCD4 mRNA可变性剪接促进结直肠癌转移的机制研究
  • 批准号:
    81802373
  • 批准年份:
    2018
  • 资助金额:
    21.0 万元
  • 项目类别:
    青年科学基金项目
复合聚类网络同步能力的尺度可变性及其粗粒化方法研究
  • 批准号:
    61563013
  • 批准年份:
    2015
  • 资助金额:
    41.0 万元
  • 项目类别:
    地区科学基金项目

相似海外基金

Collaborative Research: NCS-FR: Individual variability in auditory learning characterized using multi-scale and multi-modal physiology and neuromodulation
合作研究:NCS-FR:利用多尺度、多模式生理学和神经调节表征听觉学习的个体差异
  • 批准号:
    2409652
  • 财政年份:
    2024
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
Collaborative Research: Understanding the Influence of Turbulent Processes on the Spatiotemporal Variability of Downslope Winds in Coastal Environments
合作研究:了解湍流过程对沿海环境下坡风时空变化的影响
  • 批准号:
    2331729
  • 财政年份:
    2024
  • 资助金额:
    $ 75万
  • 项目类别:
    Continuing Grant
Collaborative Research: Understanding the Influence of Turbulent Processes on the Spatiotemporal Variability of Downslope Winds in Coastal Environments
合作研究:了解湍流过程对沿海环境下坡风时空变化的影响
  • 批准号:
    2331728
  • 财政年份:
    2024
  • 资助金额:
    $ 75万
  • 项目类别:
    Continuing Grant
Collaborative Research: CSR: Medium: Fortuna: Characterizing and Harnessing Performance Variability in Accelerator-rich Clusters
合作研究:CSR:Medium:Fortuna:表征和利用富含加速器的集群中的性能变异性
  • 批准号:
    2312689
  • 财政年份:
    2023
  • 资助金额:
    $ 75万
  • 项目类别:
    Continuing Grant
Collaborative Research: CSR: Medium: Fortuna: Characterizing and Harnessing Performance Variability in Accelerator-rich Clusters
合作研究:CSR:Medium:Fortuna:表征和利用富含加速器的集群中的性能变异性
  • 批准号:
    2401244
  • 财政年份:
    2023
  • 资助金额:
    $ 75万
  • 项目类别:
    Continuing Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了