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Composing Data-Rich Embedded Systems the Easy Way

Composing Data-Rich Embedded Systems the Easy Way
轻松构建数据丰富的嵌入式系统
批准号:
0209122
负责人:
Arvind Krishnamurthy
金额:
$20.77万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-07-01 至 2004-06-30

项目摘要

项目成果

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中文摘要
翻译
组成数据丰富的嵌入式系统Easy Way-------------------------------------------------Arvind Krishnamurthy和Henrik Nilsson耶鲁大学计算机科学系嵌入式计算越来越多地发生在传感器丰富的环境中,在这种环境中,获取原始信息比解释它要容易得多。除了构建处理这些数据的组件外,嵌入式系统程序员还必须安排可能数百个组件之间的通信,将计算分配给处理单元以最小化通信成本并最大化响应能力,并对处理单元进行调度以适应不断变化的优先级和通信模式。这些挑战必须在系统级而不是处理器级解决。这个项目开发了一个框架,用于组成分布式的、数据丰富的嵌入式系统,使许多低级别的进程分配和调度任务自动化。这部电影的背景是耶鲁大学目前正在开发的“下一代”人形机器人。该机器人包含大量以异类方式连接的处理器。该项目涉及两个基本研究问题。首先是使用现代编程语言技术来解决嵌入式系统的关键问题,如可组合性和动态配置更改。第二种是通过在运行时系统中利用高级系统知识来提高系统的整体性能。最终结果将是一种设计方法,使快速可靠地构建复杂的、数据丰富的交互系统成为可能。
英文摘要
Composing Data-Rich Embedded Systems the Easy Way-------------------------------------------------Arvind Krishnamurthy and Henrik NilssonDepartment of Computer Science, Yale UniversityEmbedded computing increasingly takes place in a sensor rich environment wherethe acquisition of raw information is much easier than its interpretation. Inaddition to building components to process this data, embedded systemsprogrammers must also arrange the communication among potentially hundreds ofcomponents, distributing computation to the processing elements so as tominimize communication costs and maximize responsiveness, and scheduling ofthe processing elements to adapt to changing priorities and communicationpatterns. These challenges must be addressed at the system level rather thanthe processor level.This project develops a framework for composing distributed, data-richembedded systems that automates many of the low-level process allocation andscheduling tasks. It takes place against a backdrop of a "next generation"humanoid robot currently being developed at Yale. The robot contains asignificant number of processors connected in a heterogeneous fashion. Theproject addresses two fundamental research issues. The first is the use ofmodern programming language techniques to address critical embedded systemconcerns such as composability and dynamic configuration change. The second isimproving overall system performance by exploiting high level system knowledgein the run-time system. The end result will be a design methodology that willenable rapid and reliable construction of complex data-rich interactivesystems.
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Collaborative Research: CNS Core: Large: Runtime Programmable Networks
  • 批准号:
    2213387
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $120.0万
  • 财政年份:
    2022
  • 负责人:
    Arvind Krishnamurthy
  • 依托单位:
Collaborative Research: CNS Core: Medium: Programmable Disaggregated Storage
  • 批准号:
    2212193
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $80.0万
  • 财政年份:
    2022
  • 负责人:
    Arvind Krishnamurthy
  • 依托单位:
EAGER: Collaborative Research: Towards an Extensible Internet
  • 批准号:
    2137221
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.16万
  • 财政年份:
    2021
  • 负责人:
    Arvind Krishnamurthy
  • 依托单位:
Collaborative Research: PPoSS: Planning: Making Smart Use of SmartNICs
  • 批准号:
    2028771
  • 项目类别:
    Standard Grant
  • 资助金额:
    $8.0万
  • 财政年份:
    2020
  • 负责人:
    Arvind Krishnamurthy
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: