Sjölund, J, Vesterlund, M, Delbosc, N et al. (2 more authors) (2018) Validated Thermal Air Management Simulations of Data Centers Using Remote Graphics Processing Units. In: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, 21-23 Oct 2018, Washington, DC, USA. IEEE ISBN 978-1-5090-6685-8
Abstract
Simulation tools for thermal management of data centers help to improve layout of new builds or analyse thermal problems in existing data centers. The development of LBM on remote GPUs as an approach for such simulations is discussed making use of VirtualGL and prioritised multi-threaded implementations of an existing LBM code. The simulation is configured to model an existing and highly monitored test data center. Steady-state root mean square averages of measured and simulated temperatures are compared showing good agreement. The full capability of this simulation approach is demonstrated when comparing rack temperatures against a time varying workload, which employs time-dependent boundary conditions.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Thermofluids, Surfaces & Interfaces (iETSI) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 Jan 2022 11:55 |
Last Modified: | 11 Jan 2022 11:55 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/iecon.2018.8591192 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:182218 |