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Collaborative Research:Framework:Software:NSCI:Enzo for the Exascale Era (Enzo-E)

Collaborative Research:Framework:Software:NSCI:Enzo for the Exascale Era (Enzo-E)
合作研究:框架:软件:NSCI:Exascale时代的Enzo(Enzo-E)
批准号:
1835402
负责人:
Michael Norman
金额:
$48.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-01 至 2023-08-31

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中文摘要
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英文摘要
The earliest stages of the formation of galaxies and quasars in the universe are soon to be explored with a powerful new generation of ground and space-based observatories. Broad and deep astronomical surveys of the early universe beginning in the next decade using the Large Synoptic Survey Telescope and the James Webb Space Telescope will revolutionize our understanding of the origin of galaxies and quasars, and help constrain the nature of the dark matter which is the dominant matter constituent in the universe. Detailed physical simulations that model the formation of these objects are an indispensible aid to understanding the coming glut of observational data, and to maximize the scientific return of these instruments. In this project, investigators at the Univ. California San Diego, Columbia Univ., Georgia Tech, and Michigan State Univ. are collaborating with the goal of developing a next generation community simulation software framework for the coming generation of supercomputers for cosmological simulations of the young universe. Undergraduate and graduate students will be directly involved in the software development as well as its application to several frontier cosmological research topics. The software framework that will be produced will be disseminated as open source software to enable a much broader range of scientific explorations of astrophysical topics. The project brings together the key developers of the open source Enzo adaptive mesh refinement (AMR) hydrodynamic cosmology code, who will port its software components to a newly developed AMR software framework called Cello. Cello implements the highly scalable array-of-octrees AMR algorithm on top of the powerful Charm++ parallel object system. Designed to be extensible and scalable to millions of processors, the new framework, called Enzo-E, will target exascale high performance computing (HPC) systems of the future. Through this project, the entire Enzo community will have a viable path to exascale simulations of unprecedented size and scope. The investigators have chosen three frontier problems in cosmology to drive the development of the Enzo-E framework: (1) the assembly of the first generation of stars and black holes into the first galaxies; (2) the role of cosmic rays in driving galactic outflows; and (3) the evolution of the intergalactic medium from cosmic dawn to the present day. Annual developer workshops and software releases will keep the broader research community informed and involved in the developments.This project is supported by the Office of Advanced Cyberinfrastructure in the Directorate for Computer & Information Science & Engineering and the Division of Astronomical Sciences in the Directorate of Mathematical and Physical Sciences.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(1)
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会议论文
Structured Adaptive Mesh Refinement Adaptations to Retain Performance Portability With Increasing Heterogeneity
结构化自适应网格细化适应随着异质性的增加而保持性能可移植性
DOI: 10.1109/mcse.2021.3099603
发表时间: 2021
期刊: Computing in Science & Engineering
影响因子: 2.1
作者: [Dubey, Anshu, Berzins, Martin, Burstedde, Carsten, Norman, Michael L., Unat, Didem, Wahib, Mohammed]
通讯作者: Wahib, Mohammed
Collaborative Research: CDS&E: AI-Enhanced Exascale Simulations Of The Earliest Galaxies
  • 批准号:
    2108076
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $46.35万
  • 财政年份:
    2021
  • 负责人:
    Michael Norman
  • 依托单位:
CloudBank: Managed Services to Simplify Cloud Access for Computer Science Research and Education
  • 批准号:
    1925001
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
    $500.0万
  • 财政年份:
    2019
  • 负责人:
    Michael Norman
  • 依托单位:
Category I. Computing without Boundaries: Cyberinfrastructure for the Long Tail of Science
  • 批准号:
    1928224
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
    $1000.0万
  • 财政年份:
    2019
  • 负责人:
    Michael Norman
  • 依托单位:
Collaborative Research: Building the Community for the Open Storage Network
  • 批准号:
    1747490
  • 项目类别:
    Standard Grant
  • 资助金额:
    $43.24万
  • 财政年份:
    2018
  • 负责人:
    Michael Norman
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)