MRI: Acquisition of iMARC: High Performance Computing for STEM Research and Education in Southeast Wisconsin
MRI: Acquisition of iMARC: High Performance Computing for STEM Research and Education in Southeast Wisconsin
批准号:
1828649
负责人:
Qadir Timerghazin
金额:
$68.14万
依托单位:
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:
2018-10-01 至 2021-09-30
中文摘要
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英文摘要
The regional resource, iMARC (infrastructure for MARquette Computing), in south east Wisconsin, provides faculty and students with appropriate infrastructure to engage efficiently in the challenges that require parallel computing and facilitate hands-on training in HPS techniques for large-scale compute- and data-intensive analyses.iMARC is a replacement system that features a modern CPU, large RAM volumes, fast storage, and graphical processing unit (GPU) accelerators, aiming to increase 60+-folding computational power affording a new level of capabilities for research and education for more than 20 major users across Southeastern Wisconsin. It integrates MUGrid (Marquette University Computational Grid) and regional SeWHiP (Se Wisconsin High Performance cyberinfrastructure) for computational sciences, thus enabling the next generation of large-scale compute- and data-intensive research and education at Marquette and neighboring institutions. The high performance data storage of iMARC enables faculty across multiple departments and institutions to tackle new cutting-edge questions. This cluster, coupled with initiatives to support infrastructure renewals, addresses the growing demand for regional scientific computing resources and high-quality training in HPC technologies. iMARC creates a unique resource for parallel computing in data analytics for the challenges in large-scale computing and provides a development environment for large-scale parallel computing tasks that facilitate deployment to XSEDE (the national computing infrastructure). The majority of the users rely on and greatly benefit from the general computational capabilities of the cluster delivered by the CPU-only nodes. The new system will bring the capabilities related to the research in biomolecular modeling and artificial intelligence to a new level. The peak performance of the CPU-only nodes will be at 176 TFLOPS, which is a 30-fold increase over the peak performance of the old machine.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(6)
专著(0)
科研奖励(0)
会议论文
Accelerating Spatial Autocorrelation Computation with Parallelization, Vectorization and Memory Access Optimization
通过并行化、矢量化和内存访问优化加速空间自相关计算
DOI:
--
发表时间:
2022
期刊:
May 2022
影响因子:
--
作者:
[Paudel, Anmol, Puri, Satish]
通讯作者:
Puri, Satish
2D Covalent Organic Frameworks with an Incorporated Manganese Complex for Light Driven Carbon Dioxide Reduction
具有掺入锰络合物的二维共价有机框架,用于光驱动二氧化碳还原
DOI:
10.1002/cptc.202100123
发表时间:
2021
期刊:
ChemPhotoChem
影响因子:
3.7
作者:
[Wang, Denan, Streater, Daniel, Peng, Yun, Huang, Jier]
通讯作者:
Huang, Jier
Unraveling a trifecta of weak non-covalent interactions: The dissociation energy of the anisole-ammonia 1:1 complex
揭示弱非共价相互作用的三重作用:苯甲醚-氨 1:1 复合物的解离能
DOI:
10.1016/j.cplett.2020.138106
发表时间:
2021
期刊:
Chemical Physics Letters
影响因子:
2.8
作者:
[Loman, John L., Makuvaza, James T., Kokkin, Damian L., Reid, Scott A.]
通讯作者:
Reid, Scott A.
CAREER: New Insights into the Reactivity of S-Nitrosothiols
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批准号:1255641
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项目类别:Standard Grant
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资助金额:$40.0万
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财政年份:2013
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负责人:Qadir Timerghazin
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依托单位:
海外基金