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Elements:Collaborative Proposal: A task-based code for multiphysics problems in astrophysics at exascale

Elements:Collaborative Proposal: A task-based code for multiphysics problems in astrophysics at exascale
要素:协作提案:基于任务的亿亿级天体物理学多物理问题代码
批准号:
1931266
负责人:
Mark Scheel
金额:
$29.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-10-01 至 2022-09-30

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中文摘要
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英文摘要
Upcoming computers will run at exascale, over a hundred times more powerful than typical machines of today. Many algorithms used in current codes will not be able to take advantage of these new machines. The researchers will complete the development of an open-source community code for multi-scale, multi-physics problems in astrophysics and gravitational physics. The code uses transformative algorithms to reach the exascale. The techniques can be applied across discipline boundaries in fluid dynamics, geoscience, plasma physics and nuclear physics and engineering. The development of this new code has been driven by the current deployment of gravitational wave detectors such as LIGO. To fully understand and analyze the signals and waveforms measured with such detectors, it is essential that accurate, robust, and efficient computational tools be available for solving the dynamical Einstein equations over very long time scales. The recent detection of the merger of a neutron star-neutron star merger by LIGO and by a host of electromagnetic telescopes has ushered The extreme energy densities of matter and radiation and the highly dynamic spacetimes of these events probe fundamental physics inaccessible to terrestrial experiments. The new code will be made available as open-source community cyberinfrastructure. The researchers will reach out to other communities within astrophysics (e.g., star formation, space plasma physics) and across discipline boundaries to fluid dynamics, geoscience, plasma physics, nuclear engineering etc. Early-career researchers trained in these techniques are in great demand, both in academia and as highly-skilled members of the industrial STEM workforce. Undergraduates will participate in the research by producing visualizations.The new code uses discontinuous Galerkin methods and task-based parallelism to accomplish its desired goals. This framework will allow the multiphysics applications to be treated both accurately and efficiently on the new architectures of petascale and exascale machines. The code is designed to scale to over a million cores for efficient exploration of the parameter space of potential sources and allowed physics, and for the high-fidelity predictions needed to realize the promise of multi-messenger astrophysics. The code will allow astrophysicists to explore the mechanisms driving core-collapse supernovae and the properties of stellar remnants, to understand electromagnetic transients and gravitational-wave phenomena in compact objects, and to reveal the dense matter equation of state. The two key algorithmic innovations in the code, the discontinuous Galerkin method coupled with task-based parallelism, promise revolutionary impact in other fields relying on numerical solution of partial differential equations at the exascale.This project advances the objectives of "Windows on the Universe: the Era of Multi-Messenger Astrophysics", one of the 10 Big Ideas for Future NSF Investments. This project advances also the objectives of the National Strategic Computing Initiative (NSCI), an effort aimed at sustaining and enhancing the U.S. scientific, technological, and economic leadership position in High-Performance Computing (HPC) research, development, and deployment. This project is supported by the Office of Advanced Cyberinfrastructure in the Directorate for Computer & Information Science & Engineering and the Division of Physics 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(14)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1103/physrevd.102.044052
发表时间: 2020-07
期刊: Physical Review D
影响因子: 5
作者: [Jordan Moxon;M. Scheel;S. Teukolsky]
通讯作者: Jordan Moxon;M. Scheel;S. Teukolsky
Fixing the BMS frame of numerical relativity waveforms
修复数值相对论波形的 BMS 框架
DOI: 10.1103/physrevd.104.024051
发表时间: 2021
期刊: Physical Review D
影响因子: 5
作者: [Mitman, Keefe, Khera, Neev, Iozzo, Dante A. B., Stein, Leo C., Boyle, Michael, Deppe, Nils, Kidder, Lawrence E., Moxon, Jordan, Pfeiffer, Harald P., Scheel, Mark A.]
通讯作者: Scheel, Mark A.
Adding Gravitational Memory to Waveform Catalogs using BMS Balance Laws
使用 BMS 平衡定律将重力记忆添加到波形目录
DOI: --
发表时间: 2021
期刊: Physical review
影响因子: --
作者: [Mitman, K., Iozzo, D., Khera, N., Boyle, M., De Lorenzo, T., Deppe, N., Kidder, L. E., Moxon, J., Pfeiffer, H. J., Scheel, M. A.]
通讯作者: Scheel, M. A.
DOI: 10.1103/physrevd.105.123031
发表时间: 2021-09
期刊:
影响因子: --
作者: [N. Deppe;F. H'ebert;Lawrence E. Kidder;William Throwe;Isha Anantpurkar;C. Armaza;G. Bonilla;M. Boyle;H. Chaudhary;Matthew D. Duez;Nils L. Vu;F. Foucart;M. Giesler;Jason S. Guo;Yoonsoo Kim;Prayush Kumar;I. Legred;Dongjun Li;G. Lovelace;Sizheng Ma;A. Macedo;D. Melchor;M. Morales;Jordan Moxon;Kyle C. Nelli;É. O’Shea;H. Pfeiffer;T. Ramirez;H. Ruter;Jennifer A. Sanchez;M. Scheel;Sierra Thomas;D. Vieira;Nikolas A. Wittek;T. Włodarczyk;S. Teukolsky]
通讯作者: N. Deppe;F. H'ebert;Lawrence E. Kidder;William Throwe;Isha Anantpurkar;C. Armaza;G. Bonilla;M. Boyle;H. Chaudhary;Matthew D. Duez;Nils L. Vu;F. Foucart;M. Giesler;Jason S. Guo;Yoonsoo Kim;Prayush Kumar;I. Legred;Dongjun Li;G. Lovelace;Sizheng Ma;A. Macedo;D. Melchor;M. Morales;Jordan Moxon;Kyle C. Nelli;É. O’Shea;H. Pfeiffer;T. Ramirez;H. Ruter;Jennifer A. Sanchez;M. Scheel;Sierra Thomas;D. Vieira;Nikolas A. Wittek;T. Włodarczyk;S. Teukolsky
13
    WOU-MMA: Gravitational Radiation and Relativistic Astrophysics
    • 批准号:
      2309211
    • 项目类别:
      Standard Grant
    • 资助金额:
      $107.55万
    • 财政年份:
      2023
    • 负责人:
      Mark Scheel
    • 依托单位:
    Collaborative Research: Elements: A task-based code for multiphysics problems in astrophysics at exascale
    • 批准号:
      2209656
    • 项目类别:
      Standard Grant
    • 资助金额:
      $29.75万
    • 财政年份:
      2022
    • 负责人:
      Mark Scheel
    • 依托单位:
    WOU-MMA: Gravitational Radiation and Relativistic Astrophysics
    • 批准号:
      2011961
    • 项目类别:
      Standard Grant
    • 资助金额:
      $105.0万
    • 财政年份:
      2020
    • 负责人:
      Mark Scheel
    • 依托单位:
    Collaborative Research: Petascale Simulations of Merging Black Holes and Neutron Stars
    • 批准号:
      1713694
    • 项目类别:
      Standard Grant
    • 资助金额:
      $0.5万
    • 财政年份:
      2017
    • 负责人:
      Mark Scheel
    • 依托单位:
    海外基金