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PFI:AIR - TT: Automated Out-of-Core Execution of Parallel Message-Passing Applications

PFI:AIR - TT: Automated Out-of-Core Execution of Parallel Message-Passing Applications
PFI:AIR - TT:并行消息传递应用程序的自动核外执行
批准号:
1414153
负责人:
George Karypis
金额:
$20.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-08-15 至 2017-01-31
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中文摘要
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英文摘要
This PFI: AIR Technology Translation project focuses on translating a software technology to fill the need for executing parallel applications on architectures with limited physical memory. This software technology, called BDMPI (Big Data Message Passing Interface), is important because it will allow approaches that rely on computational modeling and simulation to efficiently and economically solve very large problems on existing and upcoming computer systems, many of which are optimized for low power. This capability will positively impact many science & engineering disciplines, government, defense, commercial companies, and non-profit organizations. The project will result in a software prototype of BDMPI. The advantages of BDMPI over competing approaches are that (i) it allows existing parallel programs written in MPI (Message Passing Interface) to automatically switch to an efficient disk-based execution with no software re-engineering efforts, and (ii) it provides a flexible framework for developing disk-based distributed programs that can achieve levels of performance that are higher than leading competing approaches (e.g., Hadoop).This project addresses the following technology gap(s) as it translates from research discovery toward commercial application. It will expand BDMPI to support a large subset of MPI's standard API (Application Programming Interface), it will optimize its runtime system so that to reduce the overheads associated with disk-based execution, it will implement fault tolerance features, and it will optimize its runtime system for solid-state disks. In addition, the personnel involved in this project (graduate and undergraduate students), will receive innovation, entrepreneurship, and technology commercialization experiences through the Step-It-Up program that places students in part-time roles of supporting and performing commercialization efforts, their participation in an "Innovation Training" workshop, and by interacting with attorneys during patent application drafting.
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REU Site: Computational Methods for Discovery Driven by Big Data
  • 批准号:
    1757916
  • 项目类别:
    Standard Grant
  • 资助金额:
    $36.04万
  • 财政年份:
    2018
  • 负责人:
    George Karypis
  • 依托单位:
III: Medium: High-Performance Factorization Tools for Constrained and Hidden Tensor Models
  • 批准号:
    1704074
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $120.0万
  • 财政年份:
    2017
  • 负责人:
    George Karypis
  • 依托单位:
BIGDATA: IA: DKA: Collaborative Research: Learning Data Analytics: Providing Actionable Insights to Increase College Student Success
  • 批准号:
    1447788
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $121.97万
  • 财政年份:
    2014
  • 负责人:
    George Karypis
  • 依托单位:
SI2-SSE: Software Infrastructure For Partitioning Sparse Graphs on Existing and Emerging Computer Architectures
  • 批准号:
    1048018
  • 项目类别:
    Standard Grant
  • 资助金额:
    $49.98万
  • 财政年份:
    2010
  • 负责人:
    George Karypis
  • 依托单位:
国内基金
海外基金
湍流和化学交互作用对H2-Air-H2O微混燃烧中NO生成的影响研究
  • 批准号:
    51976048
  • 项目类别:
    面上项目
  • 资助金额:
    61.0万元
  • 批准年份:
    2019
  • 负责人:
    邱朋华
  • 依托单位: