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.

来自剑桥大学的Peta-5提案汇集了来自10个不同机构的15位世界领先的HPC系统和应用专家，领导创建一个突破性的HPC和数据分析能力，将对英国研究产生重大的国家影响工业和卫生部门。5旨在为新的EPSRC Tier 2 HPC网络的建立和可持续性做出重大贡献。剑桥二级中心与其他一级、二级和三级利益攸关方合作，旨在形成一个连贯、协调和富有成效的国家电子基础设施（Ne-I）生态系统。这种大大加强的计算研究支持能力将使以计算和数据为中心的研究成果显着增加，推动学术研究发现和更广泛的英国知识经济的增长。Peta-5系统将成为英国EPSRC研究所使用的最大的异构数据密集型HPC系统之一。为了创造在国家一级产生影响所需的系统能力和容量方面的临界质量，剑桥汇集了来自大学，STFC DiRAC和EPSRC Tier 2提案的资金和设备资源，以创造1150万英镑的总资本设备价值; EPSRC的要求是500万英镑。大学将保证支付该系统自服务开始之日起4年的所有运营成本，并将讨论运行第五年的选择。剑桥将确保80%的EPSRC资助的Peta-5元素部署在EPSRC研究项目上，65%的EPSRC资助的Peta-5元素通过使用轻量级资源分配委员会免费提供给任何英国EPSRC资助的项目，15%用于剑桥EPSRC研究，20%出售给英国工业，以推动英国知识经济。Peta-5系统将于2017年5月投入使用，届时将成为英国运营中功能最强大的HPC系统。总的来说，Peta-5将提供3 petaflops（PF）的持续性能，这些性能来自3个异构计算元件，1 PF Intel X86，1 PF Intel KNL和1 PF NIVIDA Pascal GPU（Peta-1），通过Pb/s HPC结构（Peta-2）连接到极端I/O固态存储池（Peta-3），一个千万亿次数据分析（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），所有这些都在一个执行环境中。这在英国创造了一种新的HPC功能，专门用于满足经济实惠的千万亿次模拟和数据密集型工作负载以及复杂数据分析的要求。这些功能的结合开启了新一代计算科学研究。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。之所以选择这些主题，是因为它们代表了重要的EPSRC研究领域，这些领域证明了Peta-5的数据密集型HPC能力的巨大优势。该服务显然对异构计算和数据密集型科学的许多其他领域有价值。因此，第四个横向主题“异构-数据密集型科学”被包括在内。RAC中的初始主题分配将是：材料30%，工程30%，健康20%，异构-数据密集型20%。Peta-5设施将推动国家层面的研究发现和影响，创造英国最大和最具成本效益的千万亿次HPC资源，使千万亿次模拟成为广泛的研究项目和英国公司的目标。Peta-5是英国第一个专门为大规模机器学习和数据分析设计的HPC系统，结合了HPC和大数据领域，有望从大数据革命中释放知识和经济效益。

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

The University of Edinburgh's English-German and English-Hausa Submissions to the WMT21 News Translation Task

爱丁堡大学向 WMT21 新闻翻译任务提交的英语-德语和英语-豪萨语提交材料

• DOI: 10.5281/zenodo.6672728
• 发表时间: 2021
• 作者: , Chen