Cambridge Service for Data Driven Discovery (CSD3) - A National Data Intensive Science Cloud for Converged Simulation, AI & Analytics

剑桥数据驱动发现服务 (CSD3) - 用于融合模拟、人工智能的国家数据密集型科学云

基本信息

  • 批准号:
    EP/T022159/1
  • 负责人:
  • 金额:
    $ 659.28万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2020
  • 资助国家:
    英国
  • 起止时间:
    2020 至 无数据
  • 项目状态:
    未结题

项目摘要

The high-level aims of CSD3 are threefold:- Firstly, to provide the EPSRC community with an accessible, scalable and innovative world-class research facility, with 80% of the system freely available via an open national call. This will enable an increased quantity and diversity of EPSRC researchers, to exploit advanced simulation, data analytics and AI capability, significantly increasing impactful scientific outputs across the entire EPSRC portfolio. Secondly, to kickstart a significant innovation partnership with industry that will investigate emerging exascale technologies, feeding back into the UK-RI HPC roadmap and science programmes, helping to keep the UK at the forefront of HPC & AI technologies. Thirdly, to pro-actively drive a more coordinated Tier-2 network, with greatly improved vertical integration within wider UK-RI Ne-I.To achieve these aims, the proposal builds on the success our previous 2016 Tier-2 proposal where the University of Cambridge (UoC) combined its funds with those from STFC DiRAC and EPSRC Tier-2 to form "CSD3", the UK's largest data intensive national HPC service. CSD3 has seen by far the largest throughput of open-access Tier-2 projects of all current Tier-2 centers. This proposal again levers significant additional non-EPSRC funding, providing 144% match funding from UoC, STFC and industry. These significant investments will be used to enhance the EPSRC Tier-2 funding to expand four key elements of CSD3, integrated with the existing CSD3 to form a significantly enhanced capability.These new service elements are described briefly here: 1) Platform: Retain the highly successful data intensive heterogeneous architecture already deployed and significantly enhance its capacity: Firstly, growing the Intel X86 cluster from 36K cores to 72K. Secondly, create one of the world's first large-scale pre-exascale prototype systems for AI & simulation with exciting next-generation GPUs from NVIDIA doubling the number of GPUs from 360 to 720 but importantly with next generation cards, significantly faster than the current V100 generation. In total, for just £4M, this will increase the EPSRC simulation capability of CSD3 by 4X and its AI capability by 9X. 2) Service support: Substantially increase the user support, RSE, training and Tier-2 management and outreach capability. Also, in collaboration with N8-CIR, Supercomputing Wales, STFC DiRAC & STFC IRIS CSD3 will initiate a new collaboration with 3 key USA HPC centers involved in the US XSEDE HPC program to co-develop, integrate & test a world-leading software ecosystem for allocation management, reporting, impact analysis and improved accessibility of federated e-Infrastructure resources. 3) Accessibility: Improve the user access layer built on Openstack, by creating an ISO27001 certified environment for holding sensitive data, implementing application-specific portals to aid new disciplines and users and develop with an exemplar user community, a community focused scientific gateway, using the gateway tool kit developed at TACC. 4) Open Exascale Lab: An industry funded and jointly resourced partnership to undertake major innovation activity, investigating emerging exascale technologies, across networking, accelerators, programming environments, novel storage and filesystem technologies. Transforming the UK's access to emerging HPC technologies feeding science programs and UK-RI Ne-I roadmap.Thus this proposal will produce significant outputs and impact in 4 areas:- 1)help to deliver impactful EPSRC science across a large number of projects (targeted at 600) and increase UK industrial competitiveness 2)greatly enhanced access to HPC resources, significantly increase training /upskilling for both academic and industrial users 3)greatly enhance and coordinate Tier-2 programme with effort and software tools; 4)undertake significant technology innovation via industry funded Open Exascale La
CSD 3的高层次目标有三个方面:第一,为EPSRC社区提供一个可访问的,可扩展的和创新的世界级研究设施,该系统的80%通过公开的国家电话免费提供。这将使EPSRC研究人员的数量和多样性增加,以利用先进的模拟,数据分析和人工智能能力,显着增加整个EPSRC产品组合的有影响力的科学产出。 第二,与行业建立重要的创新合作伙伴关系,研究新兴的亿亿次技术,反馈到UK-RI HPC路线图和科学计划中,帮助英国保持HPC和AI技术的前沿。 第三,积极推动更加协调的二级网络,大大改善更广泛的UK-RI Ne-I内的垂直整合。为了实现这些目标,该提案建立在我们之前2016年二级提案的成功基础上,其中剑桥大学(UoC)将其资金与STFC DiRAC和EPSRC Tier-2的资金结合起来,形成“CSD 3”,英国最大的数据密集型国家HPC服务。到目前为止,CSD 3已经看到了所有当前Tier-2中心的开放获取Tier-2项目的最大吞吐量。该提案再次利用了大量额外的非EPSRC资金,从UoC,STFC和行业提供了144%的匹配资金。这些重大投资将用于增强EPSRC Tier-2资金,以扩展CSD 3的四个关键要素,与现有CSD 3集成,形成显著增强的能力。这些新的服务要素简要描述如下:1)平台:保留已部署的非常成功的数据密集型异构体系结构,并显著增强其能力:首先,将Intel X86集群从36 K核心扩展到72 K。其次,利用NVIDIA令人兴奋的下一代GPU(将GPU数量从360个增加到720个)创建世界上首个用于人工智能和仿真的大规模前艾级原型系统之一,更重要的是,它采用了比当前V100代快得多的下一代显卡。总的来说,只需400万英镑,这将使CSD 3的EPSRC仿真能力提高4倍,AI能力提高9倍。2)服务支持:大幅增加用户支持、RSE、培训和第2级管理及外联能力。此外,与N8-CIR、Supercomputing Wales、STFC DiRAC和STFC IRIS CSD 3合作,将与参与美国XSEDE HPC计划的3个主要美国HPC中心开展新的合作,共同开发、集成和测试世界领先的软件生态系统,用于分配管理、报告、影响分析和改善联合电子基础设施资源的可访问性。3)无障碍通道:通过创建一个ISO27001认证的环境来保存敏感数据,实施特定于应用程序的门户来帮助新学科和用户,并使用TACC开发的网关工具包,开发一个示范用户社区,一个以社区为中心的科学网关,从而改进基于Openstack构建的用户访问层。4)打开Exascale实验室:一个由行业资助并共同提供资源的合作伙伴关系,以开展重大创新活动,研究新兴的兆兆级技术,涵盖网络、加速器、编程环境、新型存储和文件系统技术。改变英国对新兴HPC技术的访问,为科学计划和UK-RI Ne-I路线图提供支持。因此,该提案将在4个领域产生重大产出和影响:- 1)帮助在大量项目中提供有影响力的EPSRC科学(目标为600)并提高英国的工业竞争力2)大大增强了对HPC资源的访问,大大增加了学术和工业用户的培训/技能提升3)通过努力和软件工具大大增强和协调Tier-2计划; 4)通过行业资助的开放Exascale La进行重大技术创新

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Paul Alexander其他文献

Bestimmung des Gesamtschwefels und freien Schwefels im Kautschuk
  • DOI:
    10.1007/bf01767790
  • 发表时间:
    1917-09-01
  • 期刊:
  • 影响因子:
    3.800
  • 作者:
    C. E. Waters;J. B. Tuttle;Hübener;Paul Bary;Paul Alexander;F. Willy Hinrichsen;Erich Kindscher
  • 通讯作者:
    Erich Kindscher
Direct Optimal Mapping Image Power Spectrum and its Window Functions
直接最优映射图像功率谱及其窗函数
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Zhilei Xu;Honggeun Kim;J. Hewitt;Kai;N. Kern;Elizabeth Rath;R. Byrne;Adélie Gorce;Z. Martinot;J. Dillon;B. Hazelton;Adrian Liu;M. Morales;Z. Abdurashidova;Tyrone Adams;J. Aguirre;Paul Alexander;Z. Ali;R. Baartman;Yanga Balfour;A. Beardsley;G. Bernardi;T. Billings;J. Bowman;R. Bradley;Philip Bull;J. Burba;S. Carey;C. Carilli;Carina Cheng;D. DeBoer;E. D. L. Acedo;M. Dexter;N. Eksteen;J. Ely;A. Ewall;N. Fagnoni;R. Fritz;S. Furlanetto;K. Gale;B. Glendenning;D. Gorthi;B. Greig;J. Grobbelaar;Z. Halday;J. Hickish;D. Jacobs;A. Julius;M. Kariseb;J. Kerrigan;P. Kittiwisit;S. Kohn;M. Kolopanis;A. Lanman;P. Plante;A. Loots;D. MacMahon;L. Malan;C. Malgas;K. Malgas;B. Marero;A. Mesinger;M. Molewa;Tshegofalang Mosiane;S. Murray;A. Neben;B. Nikolic;H. Nuwegeld;A. Parsons;Nipanjana Patra;Samantha Pieterse;N. Razavi;J. Robnett;K. Rosie;P. Sims;Craig H. Smith;H. Swarts;N. Thyagarajan;P. V. Wyngaarden;P. Williams;Haoxuan Zheng
  • 通讯作者:
    Haoxuan Zheng
Putting numbers to a metaphor: A Bayesian Belief Network with which to infer Soil Quality and Health
用数字诠释隐喻:一个用于推断土壤质量和健康的贝叶斯信念网络
  • DOI:
    10.1016/j.eja.2025.127537
  • 发表时间:
    2025-07-01
  • 期刊:
  • 影响因子:
    5.500
  • 作者:
    Kirsty L. Hassall;Joanna Zawadzka;Alice E. Milne;Ronald Corstanje;James A. Harris;A. Gordon Dailey;Aidan M. Keith;Margaret J. Glendining;S.P. McGrath;Lindsay C. Todman;Paul Alexander;Philippa Arnold;Amanda J. Bennett;Anne Bhogal;Joanna M. The late Clark;Felicity V. Crotty;Claire Horrocks;Nicola Noble;Robert Rees;Matthew Shepherd;A.P. Whitmore
  • 通讯作者:
    A.P. Whitmore
Corticosteroids in COVID-19 and non-COVID-19 ARDS: a systematic review and meta-analysis
  • DOI:
    10.1007/s00134-021-06394-2
  • 发表时间:
    2021-04-19
  • 期刊:
  • 影响因子:
    21.200
  • 作者:
    Dipayan Chaudhuri;Kiyoka Sasaki;Aram Karkar;Sameer Sharif;Kimberly Lewis;Manoj J. Mammen;Paul Alexander;Zhikang Ye;Luis Enrique Colunga Lozano;Marie Warrer Munch;Anders Perner;Bin Du;Lawrence Mbuagbaw;Waleed Alhazzani;Stephen M. Pastores;John Marshall;François Lamontagne;Djillali Annane;Gianfranco Umberto Meduri;Bram Rochwerg
  • 通讯作者:
    Bram Rochwerg
Ground-based mid infra-red observations of nearby starburst and AGN galaxies
  • DOI:
    10.1023/a:1024053921933
  • 发表时间:
    2003-04-01
  • 期刊:
  • 影响因子:
    1.500
  • 作者:
    Bojan Nikolic;Paul Alexander;Garret Cotter;Malcolm Longair;Marcel Clemens
  • 通讯作者:
    Marcel Clemens

Paul Alexander的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Paul Alexander', 18)}}的其他基金

Proposal for a limited Early Release of Funds to the UK SKA Regional Centre Project
关于提前向英国SKA区域中心项目发放有限资金的提案
  • 批准号:
    ST/X00046X/1
  • 财政年份:
    2022
  • 资助金额:
    $ 659.28万
  • 项目类别:
    Research Grant
Square Kilometre Array: Towards Construction
平方公里阵列:走向建设
  • 批准号:
    ST/T000538/1
  • 财政年份:
    2019
  • 资助金额:
    $ 659.28万
  • 项目类别:
    Research Grant
e-MERLIN Development 2018-2023
e-MERLIN 发展 2018-2023
  • 批准号:
    ST/R001529/1
  • 财政年份:
    2018
  • 资助金额:
    $ 659.28万
  • 项目类别:
    Research Grant
A Common Cloud Platform for STFC Science
STFC Science 的通用云平台
  • 批准号:
    ST/R00255X/1
  • 财政年份:
    2018
  • 资助金额:
    $ 659.28万
  • 项目类别:
    Research Grant
Square Kilometre Array Project
平方公里阵列项目
  • 批准号:
    ST/P006280/1
  • 财政年份:
    2017
  • 资助金额:
    $ 659.28万
  • 项目类别:
    Research Grant
Square Kilometre Array Project 2016/17
平方公里阵列项目2016/17
  • 批准号:
    ST/P005608/1
  • 财政年份:
    2016
  • 资助金额:
    $ 659.28万
  • 项目类别:
    Research Grant
SKA Mid Frequency Aperture Array Test Systems
SKA 中频孔径阵列测试系统
  • 批准号:
    ST/N003683/1
  • 财政年份:
    2016
  • 资助金额:
    $ 659.28万
  • 项目类别:
    Research Grant
Peta-5: A National Facility for Petascale Data Intensive Computation and Analytics
Peta-5:千万亿级数据密集型计算和分析的国家设施
  • 批准号:
    EP/P020259/1
  • 财政年份:
    2016
  • 资助金额:
    $ 659.28万
  • 项目类别:
    Research Grant
Square Kilometre Array Project
平方公里阵列项目
  • 批准号:
    ST/M001393/1
  • 财政年份:
    2013
  • 资助金额:
    $ 659.28万
  • 项目类别:
    Research Grant
PATT Standard T&S Grant 2012 for Professor P Alexander and Dr S J George
PATT标准T
  • 批准号:
    ST/K000225/1
  • 财政年份:
    2012
  • 资助金额:
    $ 659.28万
  • 项目类别:
    Research Grant

相似国自然基金

基于Service Chain的数据中心网络资源调度问题研究
  • 批准号:
    61772235
  • 批准年份:
    2017
  • 资助金额:
    59.0 万元
  • 项目类别:
    面上项目
面向Web Service的服务质量预测技术研究
  • 批准号:
    61003072
  • 批准年份:
    2010
  • 资助金额:
    7.0 万元
  • 项目类别:
    青年科学基金项目
Web Service QoS的多维多尺度模型及评估、预测方法的研究
  • 批准号:
    60803011
  • 批准年份:
    2008
  • 资助金额:
    19.0 万元
  • 项目类别:
    青年科学基金项目
SOA中面向业务的Service识别与设计方法研究
  • 批准号:
    70871032
  • 批准年份:
    2008
  • 资助金额:
    18.0 万元
  • 项目类别:
    面上项目
基于场景规约的Web Service组合行为获取与验证研究
  • 批准号:
    60673125
  • 批准年份:
    2006
  • 资助金额:
    22.0 万元
  • 项目类别:
    面上项目

相似海外基金

Growing Prosperity through Financial Inclusion: “FinBridge” - Fintech Data to Bridge the Trust-Gap between Mainstream Financial Service Providers and Diaspora Communities in the UK and other Financially Underserved Minorities
通过金融包容性促进繁荣:“FinBridge” - 金融科技数据弥合主流金融服务提供商与英国侨民社区和其他金融服务不足的少数群体之间的信任差距
  • 批准号:
    10095550
  • 财政年份:
    2024
  • 资助金额:
    $ 659.28万
  • 项目类别:
    Collaborative R&D
NERC Earth Observation Data Analysis and Artificial-Intelligence Service (NEODAAS)
NERC 地球观测数据分析和人工智能服务 (NEODAAS)
  • 批准号:
    NE/Y005406/1
  • 财政年份:
    2024
  • 资助金额:
    $ 659.28万
  • 项目类别:
    Research Grant
Supporting data-driven decision-making to support substance use service expansion policies and to prevent overdoses
支持数据驱动的决策,以支持物质使用服务扩展政策并防止用药过量
  • 批准号:
    10745632
  • 财政年份:
    2023
  • 资助金额:
    $ 659.28万
  • 项目类别:
NERC Environmental Data Service 2023-2028
NERC 环境数据服务 2023-2028
  • 批准号:
    NE/Y001729/1
  • 财政年份:
    2023
  • 资助金额:
    $ 659.28万
  • 项目类别:
    Research Grant
PHASE IV AI: Privacy Compliant Health Data As A Service For AI Development
第四阶段人工智能:符合隐私的健康数据作为人工智能开发的服务
  • 批准号:
    10078953
  • 财政年份:
    2023
  • 资助金额:
    $ 659.28万
  • 项目类别:
    EU-Funded
Privacy compliant health data as a service for AI development
符合隐私要求的健康数据作为人工智能开发的服务
  • 批准号:
    10083262
  • 财政年份:
    2023
  • 资助金额:
    $ 659.28万
  • 项目类别:
    EU-Funded
Elements: Sustained Innovation and Service by a GPU-accelerated Computation Tool for Applications of Topological Data Analysis
要素:GPU加速计算工具在拓扑数据分析应用中的持续创新和服务
  • 批准号:
    2310510
  • 财政年份:
    2023
  • 资助金额:
    $ 659.28万
  • 项目类别:
    Standard Grant
iDAH- Consolidating the Museum Data Service as research infrastructure
iDAH - 将博物馆数据服务整合为研究基础设施
  • 批准号:
    AH/Y007468/1
  • 财政年份:
    2023
  • 资助金额:
    $ 659.28万
  • 项目类别:
    Research Grant
CyberCorps Scholarship for Service: Preparing Future Cybersecurity Professionals with Data Science Expertise
Cyber​​Corps 服务奖学金:为未来的网络安全专业人员提供数据科学专业知识
  • 批准号:
    2142229
  • 财政年份:
    2022
  • 资助金额:
    $ 659.28万
  • 项目类别:
    Continuing Grant
DataJoint SciOps: A Managed Service for Neuroscience Data Workflows
DataJoint SciOps:神经科学数据工作流的托管服务
  • 批准号:
    10547509
  • 财政年份:
    2022
  • 资助金额:
    $ 659.28万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了