课题基金 / 基金详情

Designing an Asynchronous Data-Flow Processor for Data-Intensive Static-Trace Computing for Large-Scale Power System Simulations

Designing an Asynchronous Data-Flow Processor for Data-Intensive Static-Trace Computing for Large-Scale Power System Simulations
设计用于大规模电力系统仿真的数据密集型静态跟踪计算的异步数据流处理器
批准号：
0532744
负责人：
Robert Thomas
金额：
$14.0万
依托单位：
Cornell University
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2005
资助国家：
美国
项目状态：
已结题
起止时间：
2005-09-01 至 2007-08-31
来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0532744&HistoricalAwards=false
关键词：
DesigningAsynchronousDataFlowProcessor

项目摘要

项目成果

Robert Thomas的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
The Industry/University Cooperative Research Center for Power Systems Engineering at Cornell University will study the architecture and design issues involved with implementing a multi-core data-flow processor using asynchronous VLSI and develop software compiling and mapping techniques. This will be accomplished using a case study of an electric power system security constrained optimal power flow simulation that includes transient and voltage security constraints.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: Elements: FaaSr: Enabling Cloud-native Event-driven Function-as-a-Service Computing Workflows in R
Collaborative Research: Frameworks: DeCODER (Democratized Cyberinfrastructure for Open Discovery to Enable Research)
NEON RCN: The Ecological Forecasting Initiative RCN: Using NEON-enabled near-term forecasting to synthesize our understanding of predictability across ecological systems and scales
Developing Efficient Models to Define Economic and Low Risk High Value Manufacture of Cell Based Products
  • 批准号：
    EP/R031649/1
  • 项目类别：
    Research Grant
  • 资助金额：
    $51.76万
  • 财政年份：
    2018
  • 负责人：
    Robert Thomas
  • 依托单位：
    Loughborough University
海外基金