bibtype L - Prototype, methodology, f. module, software
ARLID 0617485
utime 20250313100604.4
mtime 20250226235959.9
title (primary) (eng) Support for TE0820 Modules in Vitis 2023.2, AI 3.5 SW, AI 3.0 DPUCZDX8G
publisher
pub_time 2024
keyword artificial intelligence
keyword object detection
keyword embedded systems
keyword edge computing
keyword Vitis AI 3.5
keyword AMD-Xilinx
keyword Zynq UltraScale+
author (primary)
ARLID cav_un_auth*0101120
name1 Kadlec
name2 Jiří
institution UTIA-B
full_dept (cz) Zpracování signálů
full_dept (eng) Department of Signal Processing
department (cz) ZS
department (eng) ZS
full_dept Department of Signal Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101179
name1 Pohl
name2 Zdeněk
institution UTIA-B
full_dept (cz) Zpracování signálů
full_dept Department of Signal Processing
department (cz) ZS
department ZS
full_dept Department of Signal Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0225749
name1 Kohout
name2 Lukáš
institution UTIA-B
full_dept (cz) Zpracování signálů
full_dept Department of Signal Processing
department (cz) ZS
department ZS
full_dept Department of Signal Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0330517
name1 Likhonina
name2 Raissa
institution UTIA-B
full_dept (cz) Zpracování signálů
full_dept Department of Signal Processing
department (cz) ZS
department ZS
full_dept Department of Signal Processing
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url https://zs.utia.cas.cz/index.php?ids=results&id=9_TE0820_AI_3_5
cas_special
project
project_id 9A23008
agency GA MŠk
country CZ
ARLID cav_un_auth*0459137
abstract (eng) 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.
RIV JC
FORD0 20000
FORD1 20200
FORD2 20206
reportyear 2025
num_of_auth 4
permalink https://hdl.handle.net/11104/0364820
confidential S
arlyear 2024
mrcbU10 2024