112116 20240319080957.0 doi 10.1016/j.sysarc.2021.102372 sideral 128086 ART-2022-128086 eng Davila-Guzman, M. A. Universidad de Zaragoza (orcid)0000-0003-0668-6229 A cross-platform OpenVX library for FPGA accelerators 2022 Access copy available to the general public Unrestricted FPGAs are an excellent platform to implement computer vision applications, since these applications tend to offer a high level of parallelism with many data-independent operations. However, the freedom in the solution design space of FPGAs represents a problem because each solution must be individually designed, verified, and tuned. The emergence of High Level Synthesis (HLS) helps solving this problem and has allowed the implementation of open programming standards as OpenVX for computer vision applications on FPGAs, such as the HiF1ipVX library developed exclusively for Xilinx devices. Although with the HiF1ipVX library, designers can develop solutions efficiently on Xilinx, they do not have an approach to port and run their code on FPGAs from other manufacturers. This work extends the HiFlipVX capabilities in two significant ways: supporting Intel FPGA devices and enabling execution on discrete FPGA accelerators. To provide both without affecting user-facing code, the new carried out implementation combines two HLS programming models: C++, using Intel''s system of tasks, and OpenCL, which provides the CPU interoperability. Comparing with pure OpenCL implementations, this work reduces kernel dispatch resources, saving up to 24% of ALUT resources for each kernel in a graph, and improves performance 2.6 x and energy consumption 1.6 x on average for a set of representative applications, compared with state-of-the-art frameworks. info:eu-repo/grantAgreement/ES/AEI-FEDER/PID2019-105660RB-C21 info:eu-repo/grantAgreement/ES/DGA-ESF/T58-20R info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 4.5 2022 COMPUTER SCIENCE, SOFTWARE ENGINEERING 22 / 108 = 0.204 2022 Q1 T1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE 11 / 54 = 0.204 2022 Q1 T1 1.276 2022 Software 2022 Q1 Hardware and Architecture 2022 Q1 8.5 2022 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Kalms, L. Gran Tejero, R. Universidad de Zaragoza (orcid)0000-0002-4031-5651 Villarroya-Gaudo, M. Universidad de Zaragoza (orcid)0000-0003-3000-0506 Suarez Gracia, D. Universidad de Zaragoza (orcid)0000-0002-7490-4067 Göhringer, D. 5007 035 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Arquit.Tecnología Comput. 123 (2022), 102372 [10 pp.] J. systems archit. Journal of Systems Architecture 1383-7621 1602462 http://zaguan.unizar.es/record/112116/files/texto_completo.pdf Versión publicada 2623116 http://zaguan.unizar.es/record/112116/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:112116 articulos driver 2024-03-18-13:46:44 ARTICLE