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
• 负责人: Paul Alexander
• 金额: $ 637.13万
• 依托单位: University of Cambridge
• 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
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FP020259%2F1
• 关键词: Peta; National; Facility; Petascale; Data

The Peta-5 proposal from the University of Cambridge brings together 15 world-leading HPC system and application experts from 10 different institutions to lead the creation of a breakthrough HPC and data analytics capability that will deliver significant National impact to the UK research, industry and health sectors.Peta-5 aims to make a significant contribution towards the establishment and sustainability of a new EPSRC Tier 2 HPC network. The Cambridge Tier 2 Centre working in collaboration with other Tier 1, Tier 2 and Tier 3 stakeholders aims to form a coherent, coordinated and productive National e-Infrastructure (Ne-I) ecosystem. This greatly strengthened computational research support capability will enable a significant increase in computational and data centric research outputs, driving growth in both academic research discovery and the wider UK knowledge economy. The Peta-5 system will be one of the largest heterogeneous data intensive HPC systems available to EPSRC research in the UK. In order to create the critical mass in terms of system capability and capacity needed to make an impact at National level Cambridge have pooled funding and equipment resources from the University, STFC DiRAC and this EPSRC Tier 2 proposal to create a total capital equipment value of £11.5M; the request to EPSRC is £5M. The University will guarantee to cover all operational costs of the system for 4 years from the service start date, with the option to run for a fifth year to be discussed. Cambridge will ensure that 80% of the EPSRC funded element of Peta-5 is deployed on EPSRC research projects, with 65% of the EPSRC funded element of Peta-5 being made available to any UK EPSRC funded project free of charge by use of a light weight resource allocation committee, 15% going to Cambridge EPSRC research and 20% being sold to UK industry to drive the UK knowledge economy. The Peta-5 system will be the most capable HPC system in operation in the UK when it enters service in May 2017. In total Peta-5 will provide 3 petaflops (PF) of sustained performance derived from 3 heterogeneous compute elements, 1PF Intel X86, 1PF Intel KNL and 1PF NIVIDIA Pascal GPU (Peta-1) connected via a Pb/s HPC fabric (Peta-2) to an extreme I/O solid state storage pool (Peta-3), a petascale data analytics (Machine Learning + Hadoop) pool (Peta-4) and a large 15 PB tiered storage solution (Peta-5), all under a single execution environment. This creates a new HPC capability in the UK specifically designed to meet the requirements of both affordable petascale simulation and data intensive workloads combined with complex data analytics. It is the combination of these features which unlocks a new generation of computational science research.The core science justification for the Peta-5 service is based on three broad science themes: Materials Science and Computational Chemistry; Computational Engineering and Smart Cities; Health Informatics. These themes were chosen as they represent significant EPSRC research areas, which demonstrate large benefit from the data intensive HPC capability of Peta-5. The service will clearly be valuable for many other areas of heterogeneous computing and Data Intensive science. Hence a fourth horizontal thematic of "Heterogeneous - Data Intensive Science" is included. Initial theme allocation in the RAC will be: Materials 30%, Engineering 30%, Health, 20%, Heterogeneous - Data Intensive 20%. The Peta-5 facility will drive research discovery and impact at national level, creating the largest and most cost effective petascale HPC resource in the UK, bringing petascale simulation within the reach of a wide range of research projects and UK companies. Also Peta-5 is the first UK HPC system specifically designed for large scale machine learning and data analytics, combining the areas of HPC and Big Data, promising to unlock both knowledge and economic benefit from the Big Data revolution.

剑桥大学的PETA-5提议汇集了15个世界领先的HPC系统和来自10个不同机构的应用专家，以领导创建突破性的HPC和数据分析能力，这些功能将对英国的研究，行业和健康部门产生重大的国家影响。PETA-5旨在为新的Epspripition and Canceplysibal和New Epcs of epss of Epss tier 2 HERCC TIER 2 HERCRC TIER 2 HERCRC TIER 2 HERCRC TIER 2 HERCRC TIER 2 HERCRC TIER 2 HEPC TIER 2 HEPC TIER 2 HEPC TIER 2 H. tier 2 H.剑桥2级中心与其他层1，第2层和第3层利益相关者合作，旨在形成一个连贯，协调和生产的国家电子基础设施（NE-I-I）生态系统。这种大大加强的计算研究支持能力将使计算和数据以数据的研究成果的显着增加，推动学术研究发现和更广泛的英国知识经济的增长。 PETA-5系统将是英国EPSRC研究可用的最大的异质数据密集型HPC系统之一。为了在剑桥大学产生影响所需的系统能力和能力方面创建临界质量，从大学，STFC Dirac和该EPSRC Tier 2提案中汇总了资金和设备资源，以创建总资本设备价值为1,150万英镑；向EPSRC的请求是500万英镑。大学将保证从服务开始日期起4年来支付该系统的所有运营成本，并可以选择进行第五年的讨论。 Cambridge will ensure that 80% of the EPSRC funded element of Peta-5 is deployed on EPSRC research projects, with 65% of the EPSRC funded element of Peta-5 being made available to any UK EPSRC funded project free of charge by use of a light weight resource allocation committee, 15% going to Cambridge EPSRC research and 20% being sold to UK industry to drive the UK knowledge economy. The Peta-5 system will be the most capable HPC system in operation in the UK when it enters service in May 2017. In total Peta-5 will provide 3 petaflops (PF) of sustained performance derived from 3 heterogeneous compute elements, 1PF Intel X86, 1PF Intel KNL and 1PF NIVIDIA Pascal GPU (Peta-1) connected via a Pb/s HPC fabric (Peta-2) to an Extreme I/O固态存储池（PETA-3），Petascale数据分析（机器学习 + Hadoop）池（PETA-4）和一个大型15 PB分层存储解决方案（PETA-5），所有这些都在单个执行环境下。这在英国创建了新的HPC功能，专门旨在满足负担得起的Petascale仿真和数据密集型工作负载的要求，并结合了复杂的数据分析。这些特征的结合释放了新一代的计算科学研究。PETA-5服务的核心科学理由基于三个广泛的科学主题：材料科学和计算化学；计算工程和智能城市；健康信息学。选择这些主题是因为它们代表了重要的EPSRC研究领域，这表明PETA-5的数据密集型HPC能力很大。该服务显然对于许多其他非均质计算和数据密集型科学领域都有价值。因此，包括“异质 - 数据密集型科学”的第四个水平主题。 RAC中的初始主题分配将为：材料30％，工程30％，健康，20％，异质 - 数据密集20％。 PETA-5设施将推动国家一级的研究发现和影响，从而创造了英国最大，最具成本效益的Petascale HPC资源，从而使Petascale模拟在广泛的研究项目和英国公司的范围内。同样，PETA-5是第一个专门为大规模机器学习和数据分析设计的英国HPC系统，结合了HPC和大数据领域，有望从大数据革命中解散知识和经济利益。

项目成果

Modulation of near-wall turbulence in the transitionally rough regime

过渡粗糙状态下近壁湍流的调制

• DOI: 10.1017/jfm.2019.41
• 发表时间: 2019
• 期刊: Journal of Fluid Mechanics
• 影响因子: 3.7
• 作者: Abderrahaman-Elena N

Electronic structure of chromium trihalides beyond density functional theory

• DOI: 10.1103/physrevb.104.155109
• 发表时间: 2021-10-05
• 期刊: PHYSICAL REVIEW B
• 影响因子: 3.7
• 作者: Acharya, Swagata;Pashov, Dimitar;Katsnelson, Mikhail, I
• 通讯作者: Katsnelson, Mikhail, I

Electronic Origin of Tc in Bulk and Monolayer FeSe

• DOI: 10.3390/sym13020169
• 发表时间: 2019-08
• 期刊: Symmetry
• 作者: Swagata Acharya;D. Pashov;François Jamet;M. Schilfgaarde

Numerical investigation of full helicopter with and without the ground effect

考虑和不考虑地面效应的全直升机数值研究

• DOI: 10.1016/j.ast.2022.107401
• 发表时间: 2022
• 期刊: Aerospace Science and Technology
• 影响因子: 5.6
• 作者: A.S.F. Silva P

Controlling T_{c} through Band Structure and Correlation Engineering in Collapsed and Uncollapsed Phases of Iron Arsenides.

• DOI: 10.1103/physrevlett.124.237001
• 发表时间: 2020-03
• 期刊: Physical review letters
• 影响因子: 8.6
• 作者: Swagata Acharya;D. Pashov;François Jamet;M. Schilfgaarde