Charlton, J.A., Maddock, S. and Richmond, P. (2019) Two-dimensional batch linear programming on the GPU. Journal of Parallel and Distributed Computing, 126. pp. 152-160. ISSN 0743-7315
Abstract
This paper presents a novel, high-performance, graphical processing unit-based algorithm for efficiently solving two-dimensional linear programs in batches. The domain of two-dimensional linear programs is particularly useful due to the prevalence of relevant geometric problems. Batch linear programming refers to solving numerous different linear programs within one operation. By solving many linear programs simultaneously and distributing workload evenly across threads, graphical processing unit utilization can be maximized. Speedups of over 22 times and 63 times are obtained against state-of-the-art graphics processing unit and CPU linear program solvers, respectively.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Elsevier. This is an author produced version of a paper subsequently published in Journal of Parallel and Distributed Computing. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Graphics processing unit; GPU-computing; Incremental linear programming; Cooperative thread array |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) EP/N018869/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 17 Jan 2019 11:31 |
Last Modified: | 25 Nov 2021 08:39 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.jpdc.2019.01.001 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:140542 |
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