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	Author	Zhuo, J.; Oyanguren, A.; Fernandez Casani, A.; Fiorini, L.; Kholoimov, V.
	Title	Energy efficiency of a GPU-based computing system for high energy physics experiments			Type	Journal Article
	Year	2026	Publication	Frontiers in Physics	Abbreviated Journal	Front. Physics
	Volume	14	Issue		Pages	1868616 - 8pp
	Keywords	computing; energy efficiency; Graphic Processor Units (GPUs); LHC; power consumption; throughput
	Abstract	In this paper we introduce the energy efficiency as a new metric for evaluating both hardware platforms based on Graphic Processor Units (GPU), and algorithm optimisations at High Energy Physics (HEP) experiments. We develop a method to compute the energy efficiency for the case of the first high level trigger (HLT1) of the LHCb experiment, relating the throughput with GPU specifications such as the number of cores, clock frequency, memory bandwidth and thermal design power. The model can be extended to other HEP experiments to make decisions and reach sustainable computing ecosystems.
	Address	[Zhuo, Jiahui; Oyanguren, Arantza; Fernandez Casani, Alvaro; Fiorini, Luca; Kholoimov, Valerii] Univ Valencia, IFIC Inst Fis Corpuscular, CSIC, Valencia, Spain, Email: jiahui.zhuo@cern.ch;
	Corporate Author				Thesis
	Publisher	Frontiers Media Sa	Place of Publication		Editor
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes	WOS:001862583100001			Approved	no
	Is ISI	yes	International Collaboration	no
	Call Number	IFIC @ pastor @			Serial	7417
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