Efficient dynamic reconfigurable cnn accelerator for edge intelligence computing on fpga
K Shi, M Wang, X Tan, Q Li, T Lei - Information, 2023 - mdpi.com
This paper proposes an efficient dynamic reconfigurable CNN accelerator (EDRCA) for
FPGAs to tackle the issues of limited hardware resources and low energy efficiency in the …
FPGAs to tackle the issues of limited hardware resources and low energy efficiency in the …
AHD-LAM: A New Mitigation Method against Voltage-Drop Attacks in Multi-tenant FPGAs
Multi-tenant Field-Programmable Gate Arrays (FPGAs) are vulnerable to voltage-drop
attacks, which could jeopardize the safety and reliability of FPGA utilization. Existing …
attacks, which could jeopardize the safety and reliability of FPGA utilization. Existing …
Dynamic Reconfigurable CNN Accelerator for Embedded Edge Computing: A Hardware-Software Co-Design Approach to Minimize Power and Resource …
C Hale - Transactions on Computational and Scientific Methods, 2024 - pspress.org
With the growing demand for efficient Convolutional Neural Network (CNN) deployments in
low-power, edge computing environments, FPGAs have emerged as an ideal platform due …
low-power, edge computing environments, FPGAs have emerged as an ideal platform due …