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dc.contributor.authorCastro Caballero, Manuel De 
dc.contributor.authorOsorio, Roberto R.
dc.contributor.authorAndújar Muñoz, Francisco José 
dc.contributor.authorCarratalá Sáez, Rocío
dc.contributor.authorTorres de la Sierra, Yuri 
dc.contributor.authorLlanos Ferraris, Diego Rafael 
dc.contributor.editorUniversidad de Valladolid, Departamento de Informáticaes
dc.date.accessioned2024-09-15T08:36:30Z
dc.date.available2024-09-15T08:36:30Z
dc.date.issued2024-08
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/69758
dc.descriptionProducción Científicaes
dc.description.abstractAs Field Programmable Gate Arrays (FPGAs) computing capabilities continue to grow, also does the interest on building scientific accelerators around them. Tools like Xilinx’s High-Level Synthesis (HLS) help to bridge the gap between traditional high-level languages such as C and C++, and low-level hardware description languages such as VHDL and Verilog. In this report, we study the implementation of a fluid dynamics application, the Finite-Time Lyapunov Exponent (FTLE) calculation, on FPGA using HLS. We provide speed and resource-consumption results for 2- and 3-dimensional cases.es
dc.description.sponsorshipDepartamento de Informáticaes
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.subjectInformáticaes
dc.subject.classificationData Parallelism · FPGA · HLS · Fluid Dynamicses
dc.titleFinite-time lyapunov exponent calculation on FPGA using high-level synthesis toolses
dc.typeinfo:eu-repo/semantics/preprintes
dc.identifier.doi10.48550/arXiv.2408.02758es
dc.description.projectThis work was supported in part by: The Spanish Ministerio de Ciencia e Innovación and by the European Regional Development Fund (ERDF) program of the European Union, under Grant PID2022-142292NB-I00 (NATASHA Project); and in part by the Junta de Castilla y León- FEDER Grants, under Grant VA226P20 (PROPHET-2 Project), Junta de Castilla y León, Spain. This work was also supported in part by grant TED2021–130367B–I00, funded by MCIN/AEI/10.13039/ 501100011033 and by “European Union NextGenerationEU/PRTR”, and by grant PID2022-136435NB-I00, funded by MCIN/AEI/ 10.13039/501100011033 and by “ERDF A way of making Europe”, EU. Manuel de Castro has been supported by Spanish Ministerio de Ciencia, Innovación y Universidades, through “Ayudas para la Formación de Profesorado Universitario FPU 2022”.es
dc.type.hasVersioninfo:eu-repo/semantics/submittedVersiones
dc.subject.unesco1203es
dc.subject.unesco3304es


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