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Performance Evaluation and Application Development using FPGA-enhanced Cloud Computing Nodes

Performance Evaluation and Application Development using FPGA-enhanced Cloud Computing Nodes
使用 FPGA 增强型云计算节点进行性能评估和应用程序开发
批准号:
516136-2017
负责人:
Han, Jie
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

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中文摘要
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英文摘要
The cloud computing paradigm provides users with access over the Internet to large clusters of computingnodes . Cloud computing offers several advantages: Primarily, users benefit by only paying for the computingtime that they need without having to purchase their own equipment. In addition, cloud computing clusters areorganized to make it easy for users to scale up their programs to exploit a large number of computing nodesthat operate in parallel and thus speed up computationally demanding calculations. Finally, cloud computingallows users to bid for computer access at less busy times and benefit from lower fees. In recent years thecapabilities of computing nodes have increased from the inclusion of multiple general-purpose centralprocessing units (CPUs). Also, specialized parallel computers with many simple CPUs, called graphicsprocessing units (GPUs) and which were developed originally to accelerate visual effects, have been used tospeed up more general calculations whose parallel structure matches that of the GPU. Cloud computing nodeshave already adopted those advances. More recently, cloud computing nodes have become available whoseperformance is further enhanced by software re-configurable chips, called field-programmable gate arrays(FPGAs). FPGAs provide an implementation technology that is intermediate in performance and cost betweengeneral-purpose software-programmable CPUs (and GPUs) and full-custom chips that only perform specificcalculations very fast. FPGAs have been widely used as platforms for building hardware accelerators where nosuitable full-custom chip is available. However, it is only recently that FGPAs have been provided in cloudcomputing nodes. This project is a collaboration between the principal investigator (PI) and the sponsoringcompany to investigate a series of promising applications of FPGA-enhanced cloud computing nodes forproblems that build upon the PI's expertise and that are likely to open up new business opportunities for thecompany. The proposed Engage grant funded project would allow Eideticom to benefit from the expertise andengineering time of the PI as well as his graduate students at the University of Alberta.
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Approximate and Stochastic Computing Systems
  • 批准号:
    RGPIN-2020-06572
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2022
  • 负责人:
    Han, Jie
  • 依托单位:
Efficient computing systems for deep learning and combinatorial optimization
  • 批准号:
    552712-2020
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $4.66万
  • 财政年份:
    2021
  • 负责人:
    Han, Jie
  • 依托单位:
Approximate and Stochastic Computing Systems
  • 批准号:
    RGPIN-2020-06572
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2021
  • 负责人:
    Han, Jie
  • 依托单位:
Low-power and high-performance circuit modules for digital signal processing, wireless communications and deep learning
  • 批准号:
    561173-2020
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $3.64万
  • 财政年份:
    2021
  • 负责人:
    Han, Jie
  • 依托单位:
国内基金
海外基金
基于重要农地保护LESA(Land Evaluation and Site Assessment)体系思想的高标准基本农田建设研究
  • 批准号:
    41340011
  • 项目类别:
    专项基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2013
  • 负责人:
    钱凤魁
  • 依托单位: