99722 20230519145502.0 doi 10.3390/electronics10030314 sideral 123220 ART-2021-123220 eng Alcolea, A. Universidad de Zaragoza (orcid)0000-0002-7057-4283 FPGA accelerator for gradient boosting decision trees 2021 Access copy available to the general public Unrestricted A decision tree is a well-known machine learning technique. Recently their popularity has increased due to the powerful Gradient Boosting ensemble method that allows to gradually increasing accuracy at the cost of executing a large number of decision trees. In this paper we present an accelerator designed to optimize the execution of these trees while reducing the energy consumption. We have implemented it in an FPGA for embedded systems, and we have tested it with a relevant case-study: pixel classification of hyperspectral images. In our experiments with different images our accelerator can process the hyperspectral images at the same speed at which they are generated by the hyperspectral sensors. Compared to a high-performance processor running optimized software, on average our design is twice as fast and consumes 72 times less energy. Compared to an embedded processor, it is 30 times faster and consumes 23 times less energy. info:eu-repo/grantAgreement/ES/AEI-FEDER/PID2019-105660RB-C21 info:eu-repo/grantAgreement/ES/AEI-FEDER/TIN2016-76635-C2-1-R info:eu-repo/grantAgreement/ES/DGA-ESF/T58-20R info:eu-repo/grantAgreement/ES/DGA-FEDER/Construyendo Europa desde Aragón info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.69 2021 COMPUTER SCIENCE, INFORMATION SYSTEMS 100 / 164 = 0.61 2021 Q3 T2 PHYSICS, APPLIED 82 / 161 = 0.509 2021 Q3 T2 ENGINEERING, ELECTRICAL & ELECTRONIC 139 / 277 = 0.502 2021 Q3 T2 0.59 2021 Computer Networks and Communications 2021 Q2 Signal Processing 2021 Q2 Hardware and Architecture 2021 Q2 Control and Systems Engineering 2021 Q2 3.7 2021 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Resano, J. Universidad de Zaragoza (orcid)0000-0002-7532-2720 5007 035 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Arquit.Tecnología Comput. 10, 3 (2021), 314 [15 pp] Electronics (Basel) Electronics 2079-9292 658179 http://zaguan.unizar.es/record/99722/files/texto_completo.pdf Versión publicada 2751463 http://zaguan.unizar.es/record/99722/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:99722 articulos driver 2023-05-18-15:00:38 ARTICLE