Software development support for DiRAC

DiRAC 的软件开发支持

• 批准号: ST/P002447/1
• 负责人: Peter Boyle
• 金额: $ 43.03万
• 依托单位: University of Edinburgh
• 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=ST%2FP002447%2F1
• 关键词: Software; development; support; DiRAC

We propose to partially mitigate the shortfall in projected DiRAC computing resources over the next year, arising from the delay to DiRAC-3, by continuing a code optimisation effort to accelerate DiRAC's scientific codes on current architectures, and which will also give a sustained long term benefit to scientific throughput on future machines. The effort will be used to provide profiling, benchmarking and optimisation services to maximise scientific return from the DiRAC by ensuring the most efficient use of computing resources possible. This represents continuation of a successful first year of such effort supported by the DiRAC Technical Working Group grant and with additional support from the University of Edinburgh. The first year of effort focused on the representation of the DiRAC workload as benchmarks to assess future supercomputing needs, and there have been significant benefits to the community arising from this activity. These included discovering vectorisation, caching optimisation, and MPI parallelisation strategies for codes of the VIRGO, UKQCD, UKMHD and Planck cosmology collaborations as examples.DiRAC contains some areas of key international strength in high performance software engineering. DiRAC's expertise has been the foundation upon which the Alan Turing Institute has secured an internationally unique strategic partnership with Intel's HPC architecture group. There is an good opportunity for STFC to enable the rest of the DiRAC community to exploit the knowledge base.

我们建议通过继续进行代码优化工作以加速当前架构上的DiRAC科学代码，部分缓解由于DiRAC-3延迟而导致的明年预计DiRAC计算资源的短缺，这也将为未来机器上的科学吞吐量带来持续的长期利益。这项工作将用于提供分析，基准测试和优化服务，通过确保最有效地使用计算资源，最大限度地提高DiRAC的科学回报。这是在DiRAC技术工作组赠款的支持下，并在爱丁堡大学的额外支持下，成功开展的第一年工作的延续。第一年的工作重点是将DiRAC工作负载作为评估未来超级计算需求的基准，这项活动为社区带来了重大利益。这些包括发现矢量化，缓存优化，MPI并行化策略的代码的处女座，UKQCD，UKMHD和普朗克宇宙学合作的例子。DiRAC包含一些关键的国际实力领域的高性能软件工程。DiRAC的专业知识是艾伦图灵研究所与英特尔HPC架构团队建立国际独特战略合作伙伴关系的基础。STFC有很好的机会使DiRAC社区的其他成员能够利用知识库。

项目成果

Star cluster formation and feedback in different environments of a Milky Way-like galaxy

• DOI: 10.1093/mnras/stad1917
• 发表时间: 2023-06
• 期刊: Monthly Notices of the Royal Astronomical Society
• 影响因子: 4.8
• 作者: A. Ali;C. Dobbs;T. Bending;A. Buckner;A. Pettitt

Stellar winds and photoionization in a spiral arm

旋臂中的恒星风和光电离

• DOI: 10.1093/mnras/stac025
• 发表时间: 2022
• 期刊: Monthly Notices of the Royal Astronomical Society
• 影响因子: 4.8
• 作者: Ali A

Energy Transport during 3D Small-scale Reconnection Driven by Anisotropic Plasma Turbulence

• DOI: 10.3847/1538-4357/ac8667
• 发表时间: 2022-08
• 期刊: The Astrophysical Journal
• 作者: Jeffersson A. Agudelo Rueda;D. Verscharen;R. Wicks;C. Owen;G. Nicolaou;K. Germaschewski;A. Walsh;I. Zouganelis;S. V. Domínguez

Three-dimensional magnetic reconnection in particle-in-cell simulations of anisotropic plasma turbulence

• DOI: 10.1017/s0022377821000404
• 发表时间: 2021-03
• 期刊: Journal of Plasma Physics
• 影响因子: 2.5
• 作者: Jeffersson A. Agudelo Rueda;D. Verscharen;R. Wicks;C. Owen;G. Nicolaou;A. Walsh;I. Zouganelis;K. Germaschewski;S. Vargas Domínguez

Four-lepton production in gluon fusion at NLO matched to parton showers

• DOI: 10.1140/epjc/s10052-021-09470-5
• 发表时间: 2021-02
• 期刊: The European Physical Journal C
• 作者: S. Alioli;S. F. Ravasio;J. Lindert;R. Röntsch