ITR: Rate-based Scheduling Technology for Latency-Sensitive Graphics Applications

ITR:针对延迟敏感图形应用的基于速率的调度技术

基本信息

项目摘要

Highly interactive graphics applications have stringent latency requirements to ensure a compelling experience. These requirements are usually met by overprovisioning hardware resources and are validated through ad-hoc testing. Recent advances in real-time scheduling technology could serve as thebasis for a more analytical approach. Unfortunately, conventional real-time scheduling disciplines are quite rigid and are usually implemented only within special-purpose real-time operating systems. For these reasons, real-time scheduling techniques have been largely ignored within the graphics community.In this project, a real-time scheduling and analysis framework will be developed for latency-sensitive graphics applications. This framework will extend recent work on rate-based processor scheduling. The proposed framework will allow timing requirements to be specified as average rates and will be highly tolerant of any deviance from specified rates. The proposed rate-based framework will be evaluated through research involving the nanoManipulator system (www.cs.unc.edu/Research/nano). The nanoManipulator couples a scanning tunneling microscope or atomic force microscope to a virtual-reality graphics display and a haptic interface to provide a telepresence system. The existing nanoManipulator is not multi-threaded, and thus the system is difficult to modify and analyze. In this project, a fully multi-threaded version of the nanoManipulator will be developed using theproposed framework.
高度交互的图形应用程序具有严格的延迟要求,以确保引人注目的体验。这些要求通常通过过度配置硬件资源来满足,并通过ad-hoc测试进行验证。 实时调度技术的最新进展可以作为一种更具分析性的方法的基础。不幸的是,传统的实时调度规则非常严格,通常仅在专用实时操作系统中实现。在本计画中,我们将针对延迟敏感的绘图应用程序,开发一个即时排程与分析架构。 这个框架将扩展最近的工作基于速率的处理器调度。拟议的框架将允许将时间要求指定为平均速率,并将高度容忍任何偏离指定速率的情况。将通过涉及纳米机械手系统的研究对拟议的基于比率的框架进行评价(www.cs.unc.edu/Research/nano)。nanoManipulator将扫描隧道显微镜或原子力显微镜耦合到虚拟现实图形显示器和触觉接口,以提供远程呈现系统。 现有的nanoManipulator不是多线程的,因此系统很难修改和分析。 在这个项目中,一个完整的多线程版本的nanoManipulator将使用所提出的框架开发。

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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James Anderson其他文献

Talking nets: An oral history of neural networks
会说话的网络:神经网络的口述历史
  • DOI:
    10.1016/s0160-9327(00)80031-9
  • 发表时间:
    1999
  • 期刊:
  • 影响因子:
    0.6
  • 作者:
    B. Widrow;Carver Mead;Stephen Grossberg;Michael Arbib;James Anderson;David Rumelhart;Geoff Hinton
  • 通讯作者:
    Geoff Hinton
Reform of statistical inference in psychology: The case ofMemory & Cognition
心理学统计推断的改革:以记忆为例
Phytoestrogens: Diabetic Nephropathy
植物雌激素:糖尿病肾病
  • DOI:
  • 发表时间:
    2002
  • 期刊:
  • 影响因子:
    0
  • 作者:
    T. Stephenson;James Anderson
  • 通讯作者:
    James Anderson
Delineating Parameter Unidentifiabilities in Complex Models
描述复杂模型中的参数不可辨识性
  • DOI:
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0
  • 作者:
    D. Raman;James Anderson;A. Papachristodoulou
  • 通讯作者:
    A. Papachristodoulou
Structured state space realizations for SLS distributed controllers
SLS分布式控制器的结构化状态空间实现

James Anderson的其他文献

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{{ truncateString('James Anderson', 18)}}的其他基金

CPS: Medium: GOALI: Enabling Safe Innovation for Autonomy: Making Publish/Subscribe Really Real-Time
CPS:中:GOALI:实现自主安全创新:使发布/订阅真正实时
  • 批准号:
    2333120
  • 财政年份:
    2024
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
Collaborative Research: Bridging the scale gap between local and regional methane and carbon dioxide isotopic fluxes in the Arctic
合作研究:缩小北极当地和区域甲烷和二氧化碳同位素通量之间的规模差距
  • 批准号:
    2427291
  • 财政年份:
    2024
  • 资助金额:
    $ 35万
  • 项目类别:
    Continuing Grant
Collaborative Research: Scalable & Communication Efficient Learning-Based Distributed Control
合作研究:可扩展
  • 批准号:
    2231350
  • 财政年份:
    2022
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
CNS Core: Small: Budgets, Budgets Everywhere: A Necessity for Safe Real-Time on Multicore
CNS 核心:小:预算,预算无处不在:多核安全实时的必要性
  • 批准号:
    2151829
  • 财政年份:
    2022
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
CAREER: Towards Scale-Invariant Identification and Synthesis Algorithms for Control Using Randomization
职业:使用随机化进行控制的尺度不变识别和合成算法
  • 批准号:
    2144634
  • 财政年份:
    2022
  • 资助金额:
    $ 35万
  • 项目类别:
    Continuing Grant
CPS: Medium: GOALI: Enabling Scalable Real-Time Certification for AI-Oriented Safety-Critical Systems
CPS:中:GOALI:为面向 AI 的安全关键系统提供可扩展的实时认证
  • 批准号:
    2038855
  • 财政年份:
    2021
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
Collaborative Research: Bridging the scale gap between local and regional methane and carbon dioxide isotopic fluxes in the Arctic
合作研究:缩小北极当地和区域甲烷和二氧化碳同位素通量之间的规模差距
  • 批准号:
    1855928
  • 财政年份:
    2021
  • 资助金额:
    $ 35万
  • 项目类别:
    Continuing Grant
Collaborative Research: Bridging the scale gap between local and regional methane and carbon dioxide isotopic fluxes in the Arctic
合作研究:缩小北极当地和区域甲烷和二氧化碳同位素通量之间的规模差距
  • 批准号:
    1848620
  • 财政年份:
    2021
  • 资助金额:
    $ 35万
  • 项目类别:
    Continuing Grant
CPS: Medium: GOALI: Real-Time Computer Vision in Autonomous Vehicles: Real Fast Isn't Good Enough
CPS:中:GOALI:自动驾驶汽车中的实时计算机视觉:真正的快还不够好
  • 批准号:
    1837337
  • 财政年份:
    2019
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
CSR: Small: Software Transactional Memory for Real-Time Systems
CSR:小型:实时系统的软件事务内存
  • 批准号:
    1717589
  • 财政年份:
    2017
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant

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