LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics.
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| Title: | LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics. |
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| Authors: | Que, Zhiqiang1, z.que@imperial.ac.uk, Fan, Hongxiang1, h.fan17@imperial.ac.uk, Loo, Marcus1, marcus.loo20@imperial.ac.uk, Li, He2, he.li@ieee.org, Blott, Michaela3, michaela.blott@amd.com, Pierini, Maurizio4, Maurizio.Pierini@cern.ch, Tapper, Alexander5, a.tapper@imperial.ac.uk, Luk, Wayne1, w.luk@imperial.ac.uk |
| Source: | ACM Transactions on Embedded Computing Systems; Mar2024, Vol. 23 Issue 2, p1-28, 28p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 176301581 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Que%2C+Zhiqiang%22">Que, Zhiqiang</searchLink><relatesTo>1</relatesTo>, <i>z.que@imperial.ac.uk</i><br /><searchLink fieldCode="AU" term="%22Fan%2C+Hongxiang%22">Fan, Hongxiang</searchLink><relatesTo>1</relatesTo>, <i>h.fan17@imperial.ac.uk</i><br /><searchLink fieldCode="AU" term="%22Loo%2C+Marcus%22">Loo, Marcus</searchLink><relatesTo>1</relatesTo>, <i>marcus.loo20@imperial.ac.uk</i><br /><searchLink fieldCode="AU" term="%22Li%2C+He%22">Li, He</searchLink><relatesTo>2</relatesTo>, <i>he.li@ieee.org</i><br /><searchLink fieldCode="AU" term="%22Blott%2C+Michaela%22">Blott, Michaela</searchLink><relatesTo>3</relatesTo>, <i>michaela.blott@amd.com</i><br /><searchLink fieldCode="AU" term="%22Pierini%2C+Maurizio%22">Pierini, Maurizio</searchLink><relatesTo>4</relatesTo>, <i>Maurizio.Pierini@cern.ch</i><br /><searchLink fieldCode="AU" term="%22Tapper%2C+Alexander%22">Tapper, Alexander</searchLink><relatesTo>5</relatesTo>, <i>a.tapper@imperial.ac.uk</i><br /><searchLink fieldCode="AU" term="%22Luk%2C+Wayne%22">Luk, Wayne</searchLink><relatesTo>1</relatesTo>, <i>w.luk@imperial.ac.uk</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22ACM+Transactions+on+Embedded+Computing+Systems%22">ACM Transactions on Embedded Computing Systems</searchLink>; Mar2024, Vol. 23 Issue 2, p1-28, 28p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=176301581 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1145/3640464 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 28 StartPage: 1 Titles: – TitleFull: LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Que, Zhiqiang – PersonEntity: Name: NameFull: Fan, Hongxiang – PersonEntity: Name: NameFull: Loo, Marcus – PersonEntity: Name: NameFull: Li, He – PersonEntity: Name: NameFull: Blott, Michaela – PersonEntity: Name: NameFull: Pierini, Maurizio – PersonEntity: Name: NameFull: Tapper, Alexander – PersonEntity: Name: NameFull: Luk, Wayne IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 15399087 Numbering: – Type: volume Value: 23 – Type: issue Value: 2 Titles: – TitleFull: ACM Transactions on Embedded Computing Systems Type: main |
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