MRI: Acquisition of a High Performance Computer for Computational Science at UC Santa Cruz

MRI：加州大学圣克鲁斯分校购买一台用于计算科学的高性能计算机

• 批准号: 1828315
• 负责人: Brant Robertson
• 金额: $ 154.7万
• 依托单位: University of California-Santa Cruz
• 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
• 起止时间: 2018-10-01 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1828315&HistoricalAwards=false
• 关键词: MRI; Acquisition; Performance; Computer; Computational

This proposal would fund a 500+TeraFLOP supercomputer for the University of California at Santa Cruz (UCSC). 300+ scientists and students will use it to study astrophysics, materials science, chemistry, applied math, computer science and climate science. Astrophysicists will study colliding neutron stars for follow-up of LIGO events (NSF Big Idea: Multi-messenger Astrophysics) and many other topics. Materials scientists will use many body perturbation theory to study 2D materials as quantum emitters (NSF Big Idea: Quantum Leap). Chemists will study reactions at liquid interfaces which are important in the energy and pharmaceutical industries. Climate scientists will study feedbacks that may cause the rapidly warming Arctic (NSF Big Idea: Navigating the New Arctic).High performance computing in the physical sciences has emerged as a critical method for achieving astounding breakthroughs. State of the art computational resources have been instrumental in making the University of California, Santa Cruz (UCSC) one of the world's leading centers for astrophysical research. Through this NSF MRI grant, University of California, Santa Cruz will expand the intellectual merit of its astrophysics research programs by acquiring a supercomputer to enable transformative studies in galaxy formation, astrophysical transients and gravitational wave sources, exoplanet formation and atmospheres, and cosmological structure formation. Computational research at UCSC in planetary science, applied mathematics, chemistry, and materials science will also be performed on the system. The supercomputer will create broader impacts on UCSC undergraduate and graduate training as a hands-on platform for teaching high performance computing and deep learning methodologies, with a focus on increasing the participation of women and underrepresented minorities in the field of computational astrophysics. This program will continue the success of previous NSF MRI-funded computational facilities, which have helped to train dozens of diverse members of the UCSC community in transferable research skills and have supported more than 300 users generate hundreds of refereed scientific publications that have garnered thousands of citations.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.

该提案将为位于圣克鲁斯的加州大学（UCSC）提供500+TeraFLOP超级计算机的资金。 300多名科学家和学生将使用它来学习天体物理学，材料科学，化学，应用数学，计算机科学和气候科学。 天体物理学家将研究碰撞中子星，以跟进LIGO事件（NSF Big Idea：Multi-messenger Astrophysics）和许多其他主题。 材料科学家将使用许多体微扰理论来研究2D材料作为量子发射器（NSF Big Idea：Quantum Leap）。 化学家将研究在能源和制药工业中重要的液体界面反应。 气候科学家将研究可能导致北极迅速变暖的反馈（NSF大想法：导航新北极）。物理科学中的高性能计算已经成为实现惊人突破的关键方法。 最先进的计算资源对于使加州大学圣克鲁斯分校（UCSC）成为世界领先的天体物理研究中心之一发挥了重要作用。 通过这项NSF MRI资助，圣克鲁斯的加州大学将通过获得一台超级计算机来扩大其天体物理学研究计划的智力价值，以实现星系形成，天体物理学瞬变和引力波源，系外行星形成和大气层以及宇宙学结构形成的变革性研究。UCSC在行星科学、应用数学、化学和材料科学方面的计算研究也将在该系统上进行。这台超级计算机将对UCSC的本科生和研究生培训产生更广泛的影响，作为教授高性能计算和深度学习方法的实践平台，重点是增加妇女和代表性不足的少数民族在计算天体物理学领域的参与。该计划将延续以前NSF MRI资助的计算设施的成功，该奖项帮助培训了UCSC社区的数十名不同成员的可转移研究技能，并支持了300多名用户，产生了数百种经过评审的科学出版物，获得了数千次引用。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准。

项目成果

Sea Ice Loss, Water Vapor Increases, and Their Interactions with Atmospheric Energy Transport in Driving Seasonal Polar Amplification

• DOI: 10.1175/jcli-d-23-0219.1
• 发表时间: 2023-08
• 期刊: Journal of Climate
• 影响因子: 4.9
• 作者: Po-Chun Chung;N. Feldl

Five per cent measurements of the growth rate from simulation-based modelling of redshift-space clustering in BOSS LOWZ

BOSS LOWZ 中基于模拟的红移空间聚类模型对增长率进行百分之五的测量

• DOI: 10.1093/mnras/stab3111
• 发表时间: 2021
• 期刊: Monthly Notices of the Royal Astronomical Society
• 影响因子: 4.8
• 作者: Lange, Johannes U;Hearin, Andrew P;Leauthaud, Alexie;van den Bosch, Frank C;Guo, Hong;DeRose, Joseph
• 通讯作者: DeRose, Joseph

Preferential concentration by mechanically driven turbulence in the two-fluid formalism

二流体形式中机械驱动湍流的优先集中

• DOI: 10.1103/physrevfluids.6.104303
• 发表时间: 2021
• 期刊: Physical Review Fluids
• 影响因子: 2.7
• 作者: Nasab, Sara;Garaud, Pascale
• 通讯作者: Garaud, Pascale

An attempt to constrain Planet Nine’s orbit and position via resonant confinement of distant TNOs

尝试通过遥远的海天体共振限制来限制第九行星的轨道和位置

• DOI: 10.1093/mnras/staa790
• 发表时间: 2020
• 期刊: Monthly Notices of the Royal Astronomical Society
• 影响因子: 4.8
• 作者: Downey, Brynna G;Morbidelli, Alessandro
• 通讯作者: Morbidelli, Alessandro

Carbon doping switching on the hydrogen adsorption activity of NiO for hydrogen evolution reaction

碳掺杂对 NiO 析氢反应氢吸附活性的影响

• DOI: 10.1038/s41467-020-14462-2
• 发表时间: 2020-01-30
• 期刊: NATURE COMMUNICATIONS
• 影响因子: 16.6
• 作者: Kou, Tianyi;Chen, Mingpeng;Li, Yat
• 通讯作者: Li, Yat