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Emissions and energy efficiency on large-scale high performance computing facilities: ARCHER2 UK national supercomputing service case study

Published: 12 November 2023 Publication History

Abstract

Large supercomputing facilities are critical to research in many areas that impact on decisions such as how to address the current climate emergency. For example, climate modelling, renewable energy facility design and new battery technologies. However, these systems themselves are a source of large amounts of emissions due to the embodied emissions associated with their construction, transport, and decommissioning; and the power consumption associated with running the facility. Recently, the UK National Supercomputing Service, ARCHER2, has been analysing the impact of the facility in terms of energy and emissions. Based on this work, we have made changes to the operation of the service that give a cumulative saving of more than 20% in power draw of the computational resources with all application benchmarks showing reduced power to solution. In this paper, we describe our analysis and the changes made to the operation of the service to improve its energy efficiency, and thereby reduce its climate impacts.

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MP4 File - Conference presentation recording
Recording of "Emissions and energy efficiency on large-scale high performance computing facilities: ARCHER2 UK national supercomputing service case study" presentation at the Sustainable Supercomputing (SusSup23) Workshop

References

[1]
Juckes, M. Bane, M., Bulpett, J., Cartmell, K., MacFarlane, M., MacRae, M., Owen, A., Pascoe, C., and Townsend, P. (2023). Sustainability in Digital Research Infrastructure: UKRI Net Zero DRI Scoping Project final technical report. Zenodo. https://doi.org/10.5281/zenodo.8199984
[2]
ARCHER2 website: https://www.archer2.ac.uk
[3]
Turner, A. and Basden, A. 2022. HPC-JEEP: Energy Usage on ARCHER2 and the DiRAC COSMA HPC services (v1.1). Zenodo. https://doi.org/10.5281/zenodo.7137390
[4]
Power / Performance Determinism: maximizing performance while driving better flexibility & choice https://www.amd.com/system/files/2017-06/Power-Performance-Determinism.pdf
[5]
UK National HPC Benchmarks: https://github.com/hpc-uk/archer-benchmarks
[6]
CP2K benchmark suite: https://www.cp2k.org/performance
[7]
From: https://github.com/EPCCed/archer2-advanced-use-of-lammps/
[8]
Nektar++ tutorial: https://doc.nektar.info/tutorials/latest/incns/taylor-green-vortex/incns-taylor-green-vortex.html#incns-taylor-green-vortexch4.html

Cited By

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  • (2024)Sustainable AI: Experiences, Challenges & RecommendationsSC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis10.1109/SCW63240.2024.00227(1805-1814)Online publication date: 17-Nov-2024

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SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
November 2023
2180 pages
ISBN:9798400707858
DOI:10.1145/3624062
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

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Published: 12 November 2023

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  • (2024)Sustainable AI: Experiences, Challenges & RecommendationsSC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis10.1109/SCW63240.2024.00227(1805-1814)Online publication date: 17-Nov-2024

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