Accelerating Inference in Computer Vision Tasks with VCK190 and Vitis AI

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UDC.coleccionPublicacións UDC
UDC.conferenceTitleXoveTIC: impulsando el talento científico (8º. 2025. A Coruña)
UDC.departamentoEnxeñaría Industrial
UDC.endPage98
UDC.grupoInvCiencia e Técnica Cibernética (CTC)
UDC.institutoCentroCITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicación
UDC.startPage91
dc.contributor.authorGómez-González, Pedro-Pablo
dc.contributor.authorJove, Esteban
dc.contributor.authorCalvo-Rolle, José Luis
dc.date.accessioned2026-09-18T18:20:30Z
dc.date.available2026-09-18T18:20:30Z
dc.date.issued2025
dc.descriptionPresentado en: VIII Congreso Xove TIC: impulsando el talento científico. Octubre, 2025, A Coruña.
dc.description.abstract[Abstract] The increasing use of Deep Neural Networks (DNNs) for real-time tasks has created a need for specialized hardware accelerators.This paper presents a study of the Xilinx VCK190 development board, a next generation Adaptive Compute Acceleration Platform (ACAP) for artificial intelligence tasks, representing a first approach to this technology at the Universidade da Coru˜ña. The work details a complete workflow using Vitis AI, covering the quantization, compilation, and deployment of a neural network model. The results establish a solid technical baseline, intended to facilitate the integration of this advanced hardware into future academic and research projects.
dc.description.sponsorshipThe CITIC, as an accredited center of excellence within the Galician University System and a member of the CIGUS Network, receives subsidies from the Ministry of Education, Science, Universities, and Vocational Training of the Xunta de Galicia. It is also co-financed by the EU through the Galicia 2021-2027 FEDER operational program (Ref. ED431G 2023/01). Xunta de Galicia. Aid for the consolidation and structuring of competitive research units, GPC (ED431B 2023/49). This activity is carried out in execution of the Strategic Project “Critical infrastructures cybersecure through intelligent modeling of attacks, vulnerabilities and increased security of their IoT devices for the water supply sector” (C061 /23), the result of a collaboration agreement signed between the National Institute of Cybersecurity (INCIBE) and the University of A Coruña. This initiative is carried out within the framework of the funds of the Recovery, Transformation and Resilience Plan, financed by the European Union (Next Generation), the project of the Government of Spain that outlines the roadmap for the modernization of the Spanish economy, the recovery of economic growth and job creation, for the solid, inclusive and resilient economic reconstruction after the COVID-19 crisis, and to respond to the challenges of the next decade.
dc.description.sponsorshipXunta de Galicia; ED431B 2023/49
dc.description.sponsorshipXunta de Galicia; ED431G 2023/01
dc.identifier.citationGómez-González, P. P., Jove, E., & Calvo Rolle, J. L. (2026). Accelerating Inference in Computer Vision Tasks with VCK190 and Vitis AI. In Proceedings XoveTIC 2025: Impulsando el talento científico (pp. 91-98). Servizo de Publicacións UDC. https://doi.org/10.17979/spu.23.c22
dc.identifier.doi10.17979/spu.23.c22
dc.identifier.isbn978-84-9749-925-5
dc.identifier.urihttps://hdl.handle.net/2183/49324
dc.language.isoeng
dc.publisherUniversidade da Coruña, Servizo de Publicacións
dc.relation.urihttps://doi.org/10.17979/spu.23.c22
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectVCK190 ACAP
dc.subjectVitis AI workflow
dc.subjectDeep neural network acceleration
dc.subjectNeural network quantization
dc.subjectEdge AI deployment
dc.titleAccelerating Inference in Computer Vision Tasks with VCK190 and Vitis AI
dc.typeconference output
dspace.entity.typePublication
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relation.isAuthorOfPublication1d595973-6aec-4018-af6a-0efefe34c0b5
relation.isAuthorOfPublication89839e9c-9a8a-4d27-beb7-476cfab8965e
relation.isAuthorOfPublication.latestForDiscovery0b8f2547-71e2-4453-848a-7cd119141a62

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Congreso XoveTIC: impulsando el talento científico (8º. 2025. A Coruña)