Multi-Bank On-Chip Memory Management Techniques for CNN Accelerators
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2021.3076987
Abstract: Since off-chip DRAM access affects both performance and power consumption significantly, convolutional neural network (CNN) accelerators commonly aim to maximize data reuse in on-chip memory. By organizing the on-chip memory to multiple banks, we may… read more here.
Keywords: bank chip; multi bank; chip memory; cnn accelerators ... See more keywords
Hardware Trojan Attacks on the Reconfigurable Interconnections of Field-Programmable Gate Array-Based Convolutional Neural Network Accelerators and a Physically Unclonable Function-Based Countermeasure Detection Technique
Sign Up to like & getrecommendations! Published in 2024 at "Micromachines"
DOI: 10.3390/mi15010149
Abstract: Convolutional neural networks (CNNs) have demonstrated significant superiority in modern artificial intelligence (AI) applications. To accelerate the inference process of CNNs, reconfigurable CNN accelerators that support diverse networks are widely employed for AI systems. Given… read more here.
Keywords: cnn accelerators; hardware trojan; network; trojan ... See more keywords