Exascale Computing for System-Level Engineering: Design, Optimisation and Resilience

用于系统级工程的百亿亿次计算：设计、优化和弹性

• 批准号: EP/V001396/1
• 负责人: Garth Wells
• 金额: $ 18.12万
• 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: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FV001396%2F1
• 关键词: Exascale; Computing; System; Level; Engineering

The arrival of exascale computers will open new frontiers in our ability to simulate highly complex engineered and natural systems. This will create new opportunities for the design and optimisation of new, highly integrated engineered systems for the future. It will also allow the development of 'digital twins' of complex natural systems, such has the human body and coastal/river regions, that will allow is to explore and manage engineering-led interventions in personalised healthcare and management of the natural environment.The exascale computers of the future will be highly parallel with hundreds of thousands, or millions of processes, working collectively. Exploiting this remarkable level of parallelism will require dramatic advances in the mathematics, numerical methods, software engineering and software tools that underpin simulation, and will depend on experts in each of these areas coming together. The simulation of the different but tightly coupled physical processes that characterises complex engineered and natural systems poses additional challenges of coordinating the simulation of multiple processes, such as the noise created by an airflow flow around a moving structure under the influence of a magnetic field, or the fluid, solid, electrical and chemical interactions a human body. This project brings together of working group of experts from computer science, mathematics and engineering to address the challenge of how to simulate coupled physical process at a system level on future exascale systems. It will also address how to integrate into the simulation process the vast quantity of data that can be collected from real systems, how to assess uncertainties and how to interpret the vast quantities of data that exascale simulations will generate. The working group will formulate roadmaps for enabling research for exascale computing, and support research software engineer training for exascale-ready software skills.

亿级计算机的到来将为我们模拟高度复杂的工程和自然系统的能力开辟新的领域。这将为未来高度集成的新型工程系统的设计和优化创造新的机会。它还将允许开发复杂自然系统的“数字双胞胎”，例如人体和沿海/河流地区，这将使IS能够探索和管理以工程为主导的干预措施，用于个性化医疗保健和自然环境管理。未来的亿级计算机将与数十万或数百万个共同工作的过程高度并行。要利用这种非凡的并行性，需要在支撑模拟的数学、数值方法、软件工程和软件工具方面取得巨大进步，并依赖于这些领域的专家汇聚一堂。对不同但紧密耦合的物理过程的模拟是复杂的工程和自然系统的特征，这给协调多个过程的模拟带来了额外的挑战，例如在磁场的影响下绕过移动结构的气流产生的噪声，或者人体内的流体、固体、电气和化学相互作用。这个项目汇集了来自计算机科学、数学和工程的专家工作组，以解决如何在未来的亿级系统上在系统级模拟耦合物理过程的挑战。它还将讨论如何将可以从真实系统收集的大量数据整合到模拟过程中，如何评估不确定性，以及如何解释亿级模拟将产生的大量数据。工作组将制定支持艾级计算研究的路线图，并支持艾级计算软件技能的研究软件工程师培训。

项目成果

ExCALIBUR-U.K.'s Preparation for the Arrival of the Next Generation of HPC

ExCALIBUR-U.K. 为下一代 HPC 的到来做好准备

• DOI: 10.1109/mcse.2022.3144927
• 发表时间: 2022
• 期刊: Computing in Science & Engineering
• 影响因子: 2.1
• 作者: Betcke T