Acquisition of a High-Performance Computing Cluster for Big-Data in University of Massachusetts, Geosciences
收购马萨诸塞大学地球科学学院的高性能大数据计算集群
基本信息
- 批准号:2030568
- 负责人:
- 金额:$ 7.47万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-06-01 至 2023-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This high-performance computing (HPC) cluster at the University of Massachusetts (UMass) Amherst will support a wide range of computation-intensive research activities at the Department of Geosciences, especially the recently established Seismology Research Group. Research activities across a wide diversity of UMass Geosciences deal with big datasets, where computation plays an integral role. This includes research laboratories in seismology, geomechanics, geomorphology, hydrology, sedimentology, geography, and climatology. This overwhelming computation demand is most effectively met with efficient HPC clusters. The HPC cluster will provide cutting-edge, high performance computational power to a wide range of research activities at the UMass Geosciences, including three female and two early-career faculty members as well as their students and postdocs. The HPC cluster will also be made available to a diversity of other UMass campus users through the Massachusetts Green High Performance Computing Center (MGHPCC) and will greatly enrich UMass research infrastructure. The instrumentation will provide hands-on interdisciplinary research training to undergraduate and graduate students and postdoctoral researchers. More broadly, the outcome of this project will be integrated into a two-week Summer Seismology Education Workshop, targeting undergraduate students from the Five-College Community. Strong needs for HPC cluster exist from a large number of researchers across multiple disciplines broadly related to Earth Sciences at UMass. This high-performance computing cluster will meet their research demands. The much-needed shared HPC cluster will support NSF-funded research projects in several areas. This includes a new NSF/EAR CAREER grant to develop a new understanding of the nature of variation within and along subduction zones with advanced methods of seismic modeling. The cutting-edge full-wave propagation simulation within 3D Earth structures, which relies on high-performance computation, provides us a powerful way to constrain the three-dimensional seismic features of the crust and mantle lithosphere. The requested HPC cluster will also find immediate applications across a wide range of research activities in Geosciences, including: (1) an NSF CAREER grant to quantify soil erosion rates of the midwestern U.S.; (2) an NSF/EAR grant to simulate fracture propagation with rock material; (3) a NASA-supported graduate fellowship on extreme sea level hazard in the Gulf of Maine; (4) an NSF/EAR grant on continental accretion and lithospheric evolution through geologic time in eastern North America. And (5) two projects to investigate the terrestrially dissolved organic carbon input to the Arctic Ocean and to characterize dynamic socio-environmental flash flood risk. The HPC cluster will support the career development of an early-career female seismologist as well as the new seismology group at UMass Amherst. Expansion of seismology research and teaching has outstanding potential to attract undergraduate and graduate students at the Five-College Community (including UMass Amherst, Amherst College, Hampshire College, all-female Smith and Mount Holyoke Colleges). In addition, PI Gao has been a volunteer instructor, offering workshops for underrepresented 8th-12th-grade girls through the Girls Inc. Eureka! Program (a national organization), which is a strong STEM-based collaboration between Girls Inc. of Holyoke, Massachusetts and UMass Amherst.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.
这个位于马萨诸塞大学阿默斯特分校的高性能计算(HPC)集群将支持地球科学系广泛的计算密集型研究活动,特别是最近成立的地震学研究小组。麻省理工大学地球科学的研究活动涉及大数据集,其中计算起着不可或缺的作用。这包括地震学、地质力学、地貌学、水文学、沉积学、地理学和气候学的研究实验室。高效的HPC集群最有效地满足了这种压倒性的计算需求。高性能计算集群将为马萨诸塞大学地球科学学院的广泛研究活动提供尖端、高性能的计算能力,包括三名女性和两名早期职业教师,以及他们的学生和博士后。HPC集群也将通过马萨诸塞州绿色高性能计算中心(MGHPCC)提供给马萨诸塞大学其他校园用户,并将极大地丰富马萨诸塞大学的研究基础设施。该仪器将为本科生、研究生和博士后研究人员提供跨学科的实践研究培训。更广泛地说,这个项目的成果将被整合到一个为期两周的夏季地震学教育研讨会中,对象是来自五学院社区的本科生。马萨诸塞大学对高性能计算集群的强烈需求来自于与地球科学广泛相关的多个学科的大量研究人员。这个高性能的计算集群将满足他们的研究需求。急需的共享HPC集群将在几个领域支持nsf资助的研究项目。这包括一项新的NSF/EAR CAREER拨款,用于利用先进的地震建模方法,对俯冲带内部和沿俯冲带的变化性质进行新的理解。基于高性能计算的三维地球结构内全波传播模拟,为研究地壳和地幔岩石圈三维地震特征提供了有力手段。所要求的高性能计算集群也将在地球科学的广泛研究活动中找到直接的应用,包括:(1)美国国家科学基金会的职业生涯拨款,以量化美国中西部的土壤侵蚀率;(2) NSF/EAR拨款用于模拟岩石材料的断裂扩展;(3)美国宇航局支持的缅因湾极端海平面灾害研究生奖学金;(4)北美东部大陆增生与岩石圈演化的NSF/EAR资助。(5)研究北冰洋陆地溶解有机碳输入和山洪暴发风险动态社会环境特征的两个项目。HPC集群将支持早期职业女性地震学家的职业发展,以及马萨诸塞大学阿默斯特分校的新地震学小组。地震学研究和教学的扩展具有吸引五学院社区(包括马萨诸塞大学阿默斯特学院、阿默斯特学院、汉普郡学院、全女子史密斯学院和霍利奥克山学院)本科生和研究生的巨大潜力。此外,皮高还是一名志愿者教练,通过女孩公司为代表性不足的8 -12年级女孩提供讲习班。尤里卡!项目(一个全国性组织),这是马萨诸塞州霍利奥克女孩公司和马萨诸塞大学阿默斯特分校之间基于stem的强大合作。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
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Haiying Gao其他文献
Theoretical research on obtaining of picoseconds dilated pulses with a framing imaged converter tube
分幅成像转换管获取皮秒扩张脉冲的理论研究
- DOI:
10.1016/j.ijleo.2018.12.097 - 发表时间:
2019-06 - 期刊:
- 影响因子:3.1
- 作者:
Yanli Bai;Rongbin Yao;Haiying Gao;Xun Wang;Dajian Liu - 通讯作者:
Dajian Liu
Research on imaging system and spatial performance of a pulse-dilation framing camera with larger drift area
大漂移区脉冲扩张分幅相机成像系统及空间性能研究
- DOI:
10.1016/j.ijleo.2020.164626abstract - 发表时间:
2020-06 - 期刊:
- 影响因子:3.1
- 作者:
Yanli Bai;Fuqiang Ou;Rongbin Yao;Haiying Gao;Xun Wang;Dajian Liu - 通讯作者:
Dajian Liu
An Adaptively Secure NIPE Scheme based on DCR Assumption
基于DCR假设的自适应安全NIPE方案
- DOI:
10.5121/csit.2022.120914 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Haiying Gao;Chao Ma - 通讯作者:
Chao Ma
Token open secure and practical NTRU-based updatable encryption
- DOI:
10.1007/s11227-024-05962-9 - 发表时间:
2024-03-09 - 期刊:
- 影响因子:2.700
- 作者:
Yang Song;Haiying Gao;Shiyu Wang;Chao Ma;Keshuo Sun - 通讯作者:
Keshuo Sun
Adaptively Secure KP-ABE For Circuits With Fan-In n And Fan-Out 1
适用于具有扇入 n 和扇出 1 的电路的自适应安全 KP-ABE
- DOI:
10.1093/comjnl/bxac105 - 发表时间:
2022-07 - 期刊:
- 影响因子:0
- 作者:
Keshuo Sun;Haiying Gao - 通讯作者:
Haiying Gao
Haiying Gao的其他文献
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{{ truncateString('Haiying Gao', 18)}}的其他基金
Investigating formation and modification of the continental lithosphere in eastern North America - integrating seismic and geologic data sets
研究北美东部大陆岩石圈的形成和改造 - 整合地震和地质数据集
- 批准号:
1930014 - 财政年份:2020
- 资助金额:
$ 7.47万 - 项目类别:
Standard Grant
CAREER: Along-Strike Variation: A Comparative Study of Subduction Zones at Multiple Scales Using Joint Receiver Function and Tomographic Inversion
职业:沿走向变化:使用联合接收函数和层析反演对多尺度俯冲带进行比较研究
- 批准号:
1751974 - 财政年份:2018
- 资助金额:
$ 7.47万 - 项目类别:
Continuing Grant
Collaborative Research: Constraints on the Lithospheric Structure and Accretionary History of New England: Integrating Seismic and Geologic data sets
合作研究:新英格兰岩石圈结构和增生历史的约束:整合地震和地质数据集
- 批准号:
1736167 - 财政年份:2017
- 资助金额:
$ 7.47万 - 项目类别:
Standard Grant
Constructing a model from the spreading centers to backarc: Resolving geophysical characteristics of segmentation in Cascadia
构建从扩张中心到弧后的模型:解析卡斯卡迪亚分段的地球物理特征
- 批准号:
1624077 - 财政年份:2016
- 资助金额:
$ 7.47万 - 项目类别:
Standard Grant
Characterizing evolution and subduction of the Juan de Fuca plate: A joint inversion of ambient noise and air-gun shot data
描述胡安德富卡板块的演化和俯冲:环境噪声和气枪射击数据的联合反演
- 批准号:
1635903 - 财政年份:2016
- 资助金额:
$ 7.47万 - 项目类别:
Standard Grant
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