0617485 20250313100604.420250226235959.9 Support for TE0820 Modules in Vitis 2023.2, AI 3.5 SW, AI 3.0 DPUCZDX8G 2024 artificial intelligence object detection embedded systems edge computing Vitis AI 3.5 AMD-Xilinx Zynq UltraScale+ cav_un_auth*0101120 Kadlec Jiří UTIA-B Zpracování signálů Department of Signal Processing ZS ZS Department of Signal Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101179 Pohl Zdeněk UTIA-B Zpracování signálů Department of Signal Processing ZS ZS Department of Signal Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0225749 Kohout Lukáš UTIA-B Zpracování signálů Department of Signal Processing ZS ZS Department of Signal Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0330517 Likhonina Raissa UTIA-B Zpracování signálů Department of Signal Processing ZS ZS Department of Signal Processing CZ Ústav teorie informace a automatizace AV ČR, v. v. i. https://zs.utia.cas.cz/index.php?ids=results&id=9_TE0820_AI_3_5 9A23008 GA MŠk CZ cav_un_auth*0459137 This tutorial describes support for systems based on TE0820 modules - how to design custom HW platform with AMD DPU for Vitis 2023.2 AI 3.5 runtime inference for family of Trenz Electronic modules TE0820 with AMD Zynq Ultrascale+ device. JC 20000 20200 20206 2025 4 https://hdl.handle.net/11104/0364820 S 2024 2024