RSE training in algorithms for exascale simulations
RSE training in algorithms for exascale simulations
批准号:
EP/W035782/1
负责人:
Jemma Shipton
金额:
$4.47万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --
中文摘要
点击翻译按钮获取中文摘要
英文摘要
The exascale computing landscape in the UK is at an exciting stage,with funding being allocated to novel architectures, new softwareframeworks and innovative algorithms. Through training RSEs we have anopportunity to embed the progress made in these areas into the core ofacademic research and industrial applications, positioning the UK asan international leader in exascale simulations. To grasp thisopportunity is essential that RSEs are trained in algorithms sothat they can take an active part in research in this area. In orderto make informed and creative design choices when writing andoptimising software, RSEs need to have core knowledge of algorithms sothat they can confidently innovate and avoid the common pitfalls thatacademics and industrial partners are already aware of through theirresearch and experience. If this core knowledge is not passed on toRSEs and shared throughout the RSE community, advances made throughthe ExCALIBUR programme research projects risk failing to achievecrucial impact in academic and industrial applications.As described in section 7.3 of the RSE Knowledge Integration LandscapeReview, it is crucial that RSEs have the potential to be activelyinvolved in research. This is one of the key attractions of the jobfor skilled postgraduate students and is essential for retainingskilled RSEs in the role. The Landscape Review acknowledges thatdesign of new algorithms is a research field in itself and requires`strong domain specific knowledge'. We propose to provide training inthis area, alongside opportunities for knowledge exchange andnetworking between academic researchers, postgraduate students, RSEsand industrial partners.We propose to run two three-day workshops and a Summer School toprovide training in state of the art algorithms and core knowledge ofthe underlying foundational mathematical and numerical analysis onwhich they are based. The materials developed in advance of, andduring, these events will be curated and shared online to either beused as stand alone material for individual training or to form thebasis of future summer schools.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
海外基金