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MRI: Acquisition of a High Performance Central Computing Facility at University of California Santa Barbara

MRI: Acquisition of a High Performance Central Computing Facility at University of California Santa Barbara
MRI:收购加州大学圣巴巴拉分校的高性能中央计算设施
批准号:
1725797
负责人:
Frank Brown
金额:
$80.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-10-01 至 2020-09-30

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中文摘要
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英文摘要
This project, acquiring a computer cluster (mini-supercomputer) to replace the old one, aims to serve the computational needs facilitating scientific research and education in multiple areas. The machine includes 120 node Infiniband interconnected cluster for efficient message passing interface (MPI) parallel processing, four shared memory "fat nodes" with 1 Terabyte (TB) of memory/node, four graphic processing unit (GPU) nodes built around NVIDIA Tesla P100 1 Gigabyte (GB) GPUs, and four Intel Knight's Landing nodes. This blended system will serve the computational needs of the vast majority of campus researchers. This system will also service users needing large-scale resources by allowing development, prototyping, and benchmarking calculations locally, prior to production runs at supercomputer centers. The research enabled spans multiple departments and supports research in many campus centers including AlloSphere Research Facility, the California Nanosystems Institute, the Center of Polymers and Organic Solids, the Earth Research Institute, the Kavli Institute of Theoretical Physics, the Marine Science Institute, the Materials Research Laboratory, and the National Center for Ecological Analysis and Synthesis. This interdisciplinary and mainly collaborative research will be facilitated by the presence of an available local facility, without the administrative hurdles and delays associated with application to supercomputing centers.Broader Impacts:The cluster is expected to play a prominent role in educating the next generation of scientists, engineers, and mathematicians. The NSF Integrated Graduate Education and Research Traineeship (IGERT) program in Network Science and Big Data will also employ the cluster that will additionally be utilized by undergraduates, high school, and community college students and K-12 teachers via existing sponsored programs. It will also contribute to attract others students and researchers. Furthermore the facility will service graduate participants in the University of California Leadership Excellence through Advanced Degrees (UCLEADS) and the Bridges to Doctorate programs. These programs help increase the number of under-represented students involved.
期刊论文(133)
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会议论文
DOI: 10.1109/tsp.2019.2955828
发表时间: 2019-07
期刊: IEEE Transactions on Signal Processing
影响因子: 5.4
作者: [Anant Gupta;Upamanyu Madhow;A. Arbabian;A. Sadri]
通讯作者: Anant Gupta;Upamanyu Madhow;A. Arbabian;A. Sadri
DOI: 10.1103/physrevb.102.115201
发表时间: 2020
期刊: Physical Review B
影响因子: 3.7
作者: [Rowberg, A. J., Krishnaswamy, K., Van de Walle, C. G.]
通讯作者: Van de Walle, C. G.
DOI: 10.3847/2041-8213/ab9300
发表时间: 2020-05
期刊: The Astrophysical Journal Letters
影响因子: --
作者: [Jared A. Goldberg;L. Bildsten]
通讯作者: Jared A. Goldberg;L. Bildsten
DOI: 10.1103/physrevb.101.054409
发表时间: 2019-11
期刊: Physical Review B
影响因子: 3.7
作者: [D. Kitchaev;Emily C. Schueller;A. Van der Ven]
通讯作者: D. Kitchaev;Emily C. Schueller;A. Van der Ven
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    Theoretical methods in chemistry and biophysics
    Theoretical methods in chemistry and biophysics
    Stochastic methods in chemistry and biophysics
    MRI-R2: Acquisition of a high performance central computing facility at UCSB
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