JADE: Joint Academic Data science Endeavour
JADE: Joint Academic Data science Endeavour
批准号:
EP/P020275/1
负责人:
Mike Giles
金额:
$382.26万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --
中文摘要
这项提案由牛津大学牵头,并得到了艾伦图灵研究所(ATI)、布里斯托、爱丁堡、KCL、QMUL、谢菲尔德、南安普顿和UCL的支持,旨在建立一个国家GPU系统,以支持多学科科学,重点是机器学习和分子动力学。该架构基于“胖”GPU计算节点,使用8个NVIDIA的新Pascal GPU,每个GPU都具有a)16 GB 720 GB/s HBM2内存,B)80 GB/s NVlink与其他GPU的互连,c)6 GB/s带宽到主系统内存,d)6 GB/s带宽到Infiniband外部网络。每个服务器还具有两个20核XCache,512 GB DDR4内存和8 TB SSD。选择这种架构的动机是英国机器学习和相关数据科学领域的研究的巨大增长,特别是在艾伦图灵研究所(SES)成员的大学中。同样的架构也非常适合分子动力学、医学成像和许多其他应用领域。该系统将作为一个国家设施运行,类似于Archer,通过一个轻量级的资源分配小组向所有学术用户免费提供计算时间,由一个顶级指导委员会确定不同应用领域之间的资源分配政策(Machine Learning,Molecular Dynamics,Other)
英文摘要
This proposal led by the University of Oxford, with support from the Alan Turing Institute (ATI), Bristol, Edinburgh, KCL, QMUL, Sheffield, Southampton and UCL is for a national GPU system that will support multidisciplinary science with a focus on machine learning and molecular dynamics. The architecture is based on ``fat'' GPU compute nodes, with 8 of NVIDIA's new Pascal GPUs, each with a) 16GB 720GB/s HBM2 memory, b) an 80GB/s NVlink interconnect to other GPUs, c) 6GB/s bandwidth to main system memory, d) 6GB/s bandwidth to the Infiniband external network.Each server also has two 20-core Xeons, 512 GB DDR4 memory and 8TB SSD. The motivation for selecting this architecture is the huge growth in research in machine learning and associated areas of data science within the UK, particularly within the universities which are members of the Alan Turing Institute, or SES. The same architecture is also ideally suited for molecular dynamics, medical imaging and a number of other application areas.The system will be run as a national facility, similar to Archer in being free to all academic users with computing time available to all through a lightweight Resource Allocation Panel, with a top-level steering committee determining the policy on resource allocation between the different application areas (Machine Learning, Molecular Dynamics, Other).
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GPU Fast Convolution via the Overlap-and-Save Method in Shared Memory
通过共享内存中的重叠保存方法进行 GPU 快速卷积
DOI:
10.1145/3394116
发表时间:
2020
期刊:
ACM Transactions on Architecture and Code Optimization
影响因子:
1.6
作者:
[Adámek K]
通讯作者:
Adámek K
DOI:
10.1016/j.toxlet.2021.01.013
发表时间:
2021-01-25
期刊:
TOXICOLOGY LETTERS
影响因子:
3.5
作者:
[Epstein, Max, Bali, Karan, Biggin, Philip C.]
通讯作者:
Biggin, Philip C.
DOI:
10.1038/s41598-022-14672-2
发表时间:
2022-06-22
期刊:
SCIENTIFIC REPORTS
影响因子:
4.6
作者:
[Astley, Joshua R., Biancardi, Alberto M., Hughes, Paul J. C., Marshall, Helen, Smith, Laurie J., Collier, Guilhem J., Eaden, James A., Weatherley, Nicholas D., Hatton, Matthew Q., Wild, Jim M., Tahir, Bilal A.]
通讯作者:
Tahir, Bilal A.
Trailing Edge Noise Modelling of Flow over NACA Airfoils Informed by LES
由 LES 提供的 NACA 翼型上流动的后缘噪声建模
DOI:
10.2514/6.2021-2233
发表时间:
2021
期刊:
影响因子:
--
作者:
[Abid H]
通讯作者:
Abid H
Maths Research Associates 2021 Oxford
-
批准号:EP/W522582/1
-
项目类别:Research Grant
-
资助金额:$89.19万
-
财政年份:2021
-
负责人:Mike Giles
-
依托单位:
Future-proof massively-parallel execution of multi-block applications
-
批准号:EP/K038494/1
-
项目类别:Research Grant
-
资助金额:$35.7万
-
财政年份:2013
-
负责人:Mike Giles
-
依托单位:
Algorithms and Software for Emerging Architectures (ASEArch)
-
批准号:EP/J010553/1
-
项目类别:Research Grant
-
资助金额:$62.3万
-
财政年份:2011
-
负责人:Mike Giles
-
依托单位:
Multilevel Monte Carlo Methods for Elliptic Problems with Applications to Radioactive Waste Disposal
-
批准号:EP/H05183X/1
-
项目类别:Research Grant
-
资助金额:$2.83万
-
财政年份:2011
-
负责人:Mike Giles
-
依托单位:
Multi-layered abstractions for PDEs
-
批准号:EP/I006079/1
-
项目类别:Research Grant
-
资助金额:$30.31万
-
财政年份:2010
-
负责人:Mike Giles
-
依托单位:
Research Cluster on the use of novel hardware for real-time computing for the Digital Economy
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批准号:EP/G00210X/1
-
项目类别:Research Grant
-
资助金额:$21.06万
-
财政年份:2008
-
负责人:Mike Giles
-
依托单位:
Development of Multilevel Monte Carlo Algorithms for Mathematical Finance
-
批准号:EP/E031455/1
-
项目类别:Fellowship
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资助金额:$9.5万
-
财政年份:2007
-
负责人:Mike Giles
-
依托单位:
国内基金
海外基金
基于双稳健共享参数Joint模型的脑卒中早期关键风险因素推断研究
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批准号:81803337
-
项目类别:青年科学基金项目
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资助金额:21.0万元
-
批准年份:2018
-
负责人:石福艳
-
依托单位: