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:
    1029030
  • 负责人:
  • 金额:
    $ 353.8万
  • 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ExpeditionProject:使用Nanoscale Devicess As Angial-Semiconductor制造商制造较小的组件,电路和芯片的可变性 - 感知软件,用于纳米尺度的较小组件,产生较小且更昂贵?不再像精确的凿子机器那样具有紧张的公差。现代计算有效地不了解从设备到设备的基础系统组件的行为变化,它们随着时间的推移或放置计算系统的环境的磨损。这使它们变得昂贵,脆弱且容易受到环境或组件故障的最小变化的影响。我们设想了一个计算世界,其中系统组件(由主动软件领导)常规监视,预测和适应制造系统的变异性。更改软件与硬件互动的方式为以过去40年的较低成本延续了计算性能的基本增长提供了最大的希望。可变性探险从根本上重新考虑了刚性,确定性的硬件软件接口,以提出一类新的计算机,这些计算机不仅是自适应,而且还具有高能源效率。这些机器将能够发现硬件变化的性质和程度,开发抽象以捕获这些变化,并在软件堆栈中从编译器,运行时驱动适应性。最终的计算机系统将在使用性能变化或随着时间的推移和整个技术各个世代的可靠性变化的组件时继续工作并继续工作。因此,流畅的软件硬件接口将减轻制造系统的可变性,并使机器对不断变化的运营条件进行稳健,可靠和响应。可变性探险队在加利福尼亚州的电信和信息技术研究所(Calit2)的研究人员在UC San Dieago和UC Irvine和UC Irvine,以及UCLANANE-UCLANANE-ULLIANS,STANFORD ATNIMAN,STENFORD,STENFORD,STENFORD ATNIMAN,STENFORD和UCLIAME,Stan Furniman和Uclimane。凭借在硬件方面的流程技术,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,该团队还具有系统实施和应用程序的专业知识,以驱动和评估研究以及通过无线传感,软件广播和移动平台中的应用驱动程序将研究成就转移到实践中。成功的探险将极大地改变计算环境。通过重新构建软件以在监视和适应为常态的世界中工作,它将实现更强大,高效且负担得起的系统,这些系统能够预测和承受硬件故障,还可以承受其他类型的软件错误甚至攻击。新的范式将适用于嵌入式,移动,台式机和服务器级计算机的整个范围,从而在传感器信息处理,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定的收益。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,这次探险将基于与正式和非正式领域的教育工作者建立的合作,以促进跨学科的教学,培训,学习,学习和研究。该团队建立了牢固的工业和社区宣传关系,以确保成功并通过辅导和暑期课程的结合与高中生接触。可变性探险将吸引本科生和研究生参与软件,硬件和系统研究,同时促进各个级别代表性不足的小组的参与,并在学术界和行业内广泛传播结果。

项目成果

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Mani Srivastava其他文献

On the amplification of security and privacy risks by post-hoc explanations in machine learning models
机器学习模型中事后解释放大安全和隐私风险
  • DOI:
    10.48550/arxiv.2206.14004
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Pengrui Quan;Supriyo Chakraborty;J. Jeyakumar;Mani Srivastava
  • 通讯作者:
    Mani Srivastava
Molecular Modeling Evaluation of the Antimalarial Activity of Artemisinin Analogues: Molecular Docking and Rescoring using Prime/MM-GBSA Approach
青蒿素类似物抗疟活性的分子模型评估:使用 Prime/MM-GBSA 方法进行分子对接和重新评分
  • DOI:
  • 发表时间:
    2010
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Mani Srivastava;Harvinder Singh;P. Naik
  • 通讯作者:
    P. Naik
Editorial: Farewell and Introduction to the New Editor-in-Chief
  • DOI:
    10.1109/tmc.2011.8
  • 发表时间:
    2011-01
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Mani Srivastava
  • 通讯作者:
    Mani Srivastava
REVIEW ARTICLE - RATIONAL USE OF SWARNA PRASHANA IN CHILDREN IN CURRENT TIMES OF COVID 19 CRISIS
评论文章 - 当前 COVID 19 危机时期儿童中 Swarna Prashana 的合理使用
Proceedings 36th International Conference on Logic Programming (Technical Communications)
第 36 届国际逻辑编程会议(技术通讯)论文集
  • DOI:
    10.4204/eptcs.325.15
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Marc Roig Vilamala;Harrison Taylor;Tianwei Xing;Luis Garcia;Mani Srivastava;Lance M. Kaplan;A. Preece;Angelika Kimming;Federico Cerutti
  • 通讯作者:
    Federico Cerutti

Mani Srivastava的其他文献

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{{ truncateString('Mani Srivastava', 18)}}的其他基金

CRI: CI-EN: Collaborative Research: mResearch: A platform for Reproducible and Extensible Mobile Sensor Big Data Research
CRI:CI-EN:协作研究:mResearch:可复制和可扩展的移动传感器大数据研究平台
  • 批准号:
    1822935
  • 财政年份:
    2018
  • 资助金额:
    $ 353.8万
  • 项目类别:
    Standard Grant
SaTC: CORE: Medium: Collaborative: Privacy-Aware Trustworthy Control as a Service for the Internet of Things (IoT)
SaTC:核心:媒介:协作:物联网 (IoT) 的隐私意识可信控制即服务
  • 批准号:
    1705135
  • 财政年份:
    2017
  • 资助金额:
    $ 353.8万
  • 项目类别:
    Standard Grant
BD Spokes: SPOKE: WEST: Collaborative: MetroInsight: Knowledge Discovery and Real-Time Interventions from Sensory Data Flows in Urban Spaces
BD 发言:发言:WEST:协作:MetroInsight:城市空间中感知数据流的知识发现和实时干预
  • 批准号:
    1636916
  • 财政年份:
    2016
  • 资助金额:
    $ 353.8万
  • 项目类别:
    Standard Grant
CPS: Frontiers: Collaborative Research: ROSELINE: Enabling Robust, Secure and Efficient Knowledge of Time Across the System Stack
CPS:前沿:协作研究:ROSELINE:在整个系统堆栈中实现稳健、安全和高效的时间知识
  • 批准号:
    1329755
  • 财政年份:
    2014
  • 资助金额:
    $ 353.8万
  • 项目类别:
    Continuing Grant
CSR: Large: Collaborative Research: Enabling Privacy-Utility Trade-Offs in Pervasive Computing Systems
CSR:大型:协作研究:在普适计算系统中实现隐私与效用的权衡
  • 批准号:
    1213140
  • 财政年份:
    2012
  • 资助金额:
    $ 353.8万
  • 项目类别:
    Standard Grant
PC3: Pervasive Sensing and Computing Technologies for Energy and Water Sustainability in Buildings
PC3:用于建筑物能源和水可持续性的普遍传感和计算技术
  • 批准号:
    1143667
  • 财政年份:
    2011
  • 资助金额:
    $ 353.8万
  • 项目类别:
    Standard Grant
NetSE: Medium: Collaborative Research: Green Edge Networks
NetSE:媒介:协作研究:绿色边缘网络
  • 批准号:
    0905580
  • 财政年份:
    2009
  • 资助金额:
    $ 353.8万
  • 项目类别:
    Standard Grant
NetSE: Large: Collaborative Research: FieldStream: Network Data Services for Exposure Biology Studies in Natural Environments
NetSE:大型:协作研究:FieldStream:自然环境中暴露生物学研究的网络数据服务
  • 批准号:
    0910706
  • 财政年份:
    2009
  • 资助金额:
    $ 353.8万
  • 项目类别:
    Standard Grant
Collaborative Research: Design and Run-time Techniques for Physically Coupled Software
协作研究:物理耦合软件的设计和运行技术
  • 批准号:
    0820061
  • 财政年份:
    2008
  • 资助金额:
    $ 353.8万
  • 项目类别:
    Standard Grant
CSR--EHS: Collaborative Research: ASPIRE: Antipodal Staged Processing In Role-adaptive Embedded-systems
CSR--EHS:协作研究:ASPIRE:角色自适应嵌入式系统中的反足分阶段处理
  • 批准号:
    0614853
  • 财政年份:
    2006
  • 资助金额:
    $ 353.8万
  • 项目类别:
    Continuing Grant

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  • 项目类别:
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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:
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  • 批准号:
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