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Workflows to Driving High-Performance Interactive Supercomputing for Urgent Decision Making

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High Performance Computing. ISC High Performance 2022 International Workshops (ISC High Performance 2022)

Abstract

Interactive urgent computing is a small but growing user of supercomputing resources. However there are numerous technical challenges that must be overcome to make supercomputers fully suited to the wide range of urgent workloads which could benefit from the computational power delivered by such instruments. An important question is how to connect the different components of an urgent workload; namely the users, the simulation codes, and external data sources, together in a structured and accessible manner.

In this paper we explore the role of workflows from both the perspective of marshalling and control of urgent workloads, and at the individual HPC machine level. Ultimately requiring two workflow systems, by using a space weather prediction urgent use-cases, we explore the benefit that these two workflow systems provide especially when one exploits the flexibility enabled by them interoperating.

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Acknowledgements

The research leading to these results has received funding from the Horizon 2020 Programme under grant agreement No. 800904. This work used the ARCHER2 UK National Supercomputing Service (https://www.archer2.ac.uk). For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission.

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Brown, N. et al. (2022). Workflows to Driving High-Performance Interactive Supercomputing for Urgent Decision Making. In: Anzt, H., Bienz, A., Luszczek, P., Baboulin, M. (eds) High Performance Computing. ISC High Performance 2022 International Workshops. ISC High Performance 2022. Lecture Notes in Computer Science, vol 13387. Springer, Cham. https://doi.org/10.1007/978-3-031-23220-6_16

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  • DOI: https://doi.org/10.1007/978-3-031-23220-6_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23219-0

  • Online ISBN: 978-3-031-23220-6

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