Crispin-Bailey, Christopher orcid.org/0000-0003-0613-9698, Austin, Jim orcid.org/0000-0001-5762-8614, Moulds, Anthony et al. (1 more author) (2022) Investigating Novel 3D Modular Schemes for Large Array Topologies:Power Modeling and Prototype Feasibility. In: Euromicro DSD 2022 Conference proceedings (TBC). 25th Euromicro Conference on Digital System Design (DSD), 2022, 31 Aug - 02 Sep 2022 IEEE , ESP
Abstract
This paper presents the Tiled Computing Array (TCA), a simple, uniform, 3D-mesh packaging at inter-board level, for massively parallel computers. In particular, the power modelling and practical feasibility of the system is examined. TCA eliminates the need for hierarchical rackmount-structures and introduces short and immediate data channels in multiple physical orientations, allowing a more direct physical mapping of 3D computational topology to real hardware. A dedicated simulation platform has been developed, and an engineered prototype demonstrator has been built. This paper explores the feasibility of the TCA concept for current hardware technologies and systems, evaluates power modeling and validation, and highlights some of the novel design challenges associated with such a system. Evaluations of physical scalability toward large-scale systems are reported, showing that TCA is a promising approach.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Jim Austin is a retired Professor of Computing, University of York, UK. |
Keywords: | computing array,interconnection network,massively parallel computers,scalability,simulation |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 09 Sep 2022 09:00 |
Last Modified: | 23 Jan 2025 00:41 |
Published Version: | https://doi.org/10.1109/DSD57027.2022.00044 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/DSD57027.2022.00044 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:190805 |
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