A deep learning based astronomical target detection framework for multi-colour photometry sky survey projects
P Jia, Y Zheng, M Wang, Z Yang - Astronomy and Computing, 2023 - Elsevier
Multi-colour photometry sky survey projects would obtain celestial object images of different
colours with a wide field telescope and several different filters. Images of different colours …
colours with a wide field telescope and several different filters. Images of different colours …
Energy-efficient acceleration of deep neural networks on realtime-constrained embedded edge devices
This paper presents a hardware management technique that enables energy-efficient
acceleration of deep neural networks (DNNs) on realtime-constrained embedded edge …
acceleration of deep neural networks (DNNs) on realtime-constrained embedded edge …
R2D2: Removing ReDunDancy Utilizing Linearity of Address Generation in GPUs
A generally used GPU programming methodology is that adjacent threads access data in
neighbor or specific-stride memory addresses and perform computations with the fetched …
neighbor or specific-stride memory addresses and perform computations with the fetched …
Hardware accelerator systems for embedded systems
WJ Song - Advances in Computers, 2021 - Elsevier
This chapter describes various engineering considerations and constraints to deploy neural
network applications in embedded systems and presents a variety of processing solutions to …
network applications in embedded systems and presents a variety of processing solutions to …