Improving Multi-DNN Inference Performance under Embedded GPU Environments with Overhead Minimization

2021 ◽  
Vol 58 (10) ◽  
pp. 27-34
Author(s):  
Cheolsun Lim ◽  
Myungsun Kim
Keyword(s):  
Embedded Gpu

Enhancing Robot Capabilities of Environmental Perception through Embedded GPU

2017 ◽  
Author(s):  
Marco Antonio Simoes Teixeira ◽  
Nicolas Dalmedico ◽  
Higor Barbosa Santos ◽  
Andre Schneider De Oliveira ◽  
Lucia Valeria Ramos De Arruda ◽  
...  
Keyword(s):  
Environmental Perception ◽  
Embedded Gpu

UAV Image Based Crop and Weed Distribution Estimation on Embedded GPU Boards

2019 ◽  
pp. 100-108
Author(s):  
Mulham Fawakherji ◽  
Ciro Potena ◽  
Domenico D. Bloisi ◽  
Marco Imperoli ◽  
Alberto Pretto ◽  
...  
Keyword(s):  
Distribution Estimation ◽  
Weed Distribution ◽  
Uav Image ◽  
Embedded Gpu

scholarly journals Profiling NVIDIA Jetson Embedded GPU Devices for Autonomous Machines

2020 ◽  
Author(s):  
Yazhou Li ◽  
Yahong Rosa Zheng
Keyword(s):  
Effective Means ◽  
Field Testing ◽  
Operating Mode ◽  
Autonomous Driving ◽  
Robot Operating System ◽  
Race Car ◽  
Localization And Mapping ◽  
Autonomous Machines ◽  
Particle Filter Algorithm ◽  
Embedded Gpu

This paper presents two methods, tegrastats GUI version jtop and Nsight Systems, to profile NVIDIA Jetson embedded GPU devices on a model race car which is a great platform for prototyping and field testing autonomous driving algorithms. The two profilers analyze the power consumption, CPU/GPU utilization, and the run time of CUDA C threads of Jetson TX2 in five different working modes. The performance differences among the five modes are demonstrated using three example programs: vector add in C and CUDA C, a simple ROS (Robot Operating System) package of the wall follow algorithm in Python, and a complex ROS package of the particle filter algorithm for SLAM (Simultaneous Localization and Mapping). The results show that the tools are effective means for selecting operating mode of the embedded GPU devices.

Exploring Data Analytics without Decompression on Embedded GPU Systems

2021 ◽  
pp. 1-1
Author(s):  
Zaifeng Pan ◽  
Feng Zhang ◽  
Yanliang Zhou ◽  
Jidong Zhai ◽  
Xipeng Shen ◽  
...  
Keyword(s):  
Data Analytics ◽  
Embedded Gpu

Evaluating the Power Efficiency of Visual SLAM on Embedded GPU Systems

2019 ◽  
Author(s):  
Tao Peng ◽  
Dingnan Zhang ◽  
Ruixu Liu ◽  
Vijayan K. Asari ◽  
John S. Loomis
Keyword(s):  
Power Efficiency ◽  
Visual Slam ◽  
Embedded Gpu
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