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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

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中文摘要
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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: