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000644527 0247_ $$2ISSN$$a2101-6275
000644527 0247_ $$2datacite_doi$$a10.3204/PUBDB-2026-00386
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000644527 041__ $$aEnglish
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000644527 1001_ $$aBocci, Andrea$$b0
000644527 1112_ $$a27th International Conference on Computing in High Energy and Nuclear Physics$$cKrakow$$d2024-10-21 - 2024-10-25$$gCHEP 2024$$wPoland
000644527 245__ $$aHeterogeneous reconstruction of hadronic particle flow clusters with the Alpaka Portability Library
000644527 260__ $$aLes Ulis$$bEDP Sciences$$c2025
000644527 300__ $$a7
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000644527 520__ $$aIn response to increasing data challenges, CMS has adopted the use of GPU offloading at the High-Level Trigger (HLT). However, GPU code is often hardware specific, and increases the maintenance burden on software development. The Alpaka (Abstraction Library for Parallel Kernel Acceleration) portability library offers a solution to this issue, and has been implemented into the CMS software (CMSSW) for use online at HLT. A portion of the final-state particle candidate reconstruction algorithm, Particle Flow, represented a target for increased performance through parallel operation. We discuss the port of hadronic Particle Flow clustering to Alpaka, and the validation of physics and performance at HLT for 2024 data taking.
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000644527 7001_ $$aDas, Abhishek$$b1
000644527 7001_ $$aHatakeyama, Kenichi$$b2
000644527 7001_ $$aPantaleo, Felice$$b3
000644527 7001_ $$0P:(DE-HGF)0$$aLorkowski, Florian$$b4$$eCorresponding author
000644527 7001_ $$aRedjeb, Wahid$$b5
000644527 7001_ $$aSamudio, Jonathan$$b6
000644527 7001_ $$aSaunders, Mark$$b7
000644527 7001_ $$0P:(DE-HGF)0$$aCMS Collaboration$$b8$$eCollaboration author
000644527 773__ $$0PERI:(DE-600)2595425-8$$a10.1051/epjconf/202533701171$$gVol. 337, p. 01171 -$$p01171 $$tThe European physical journal / Web of Conferences$$v337$$x2100-014X$$y2025
000644527 8564_ $$uhttps://doi.org/10.1051/epjconf/202533701171
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