Security of Electrical, Optical, and Wireless On-chip Interconnects: A Survey
H Weerasena, P Mishra - ACM Transactions on Design Automation of …, 2024 - dl.acm.org
The advancement of manufacturing technologies has enabled the integration of more
intellectual property (IP) cores on the same system-on-chip (SoC). Scalable and high …
intellectual property (IP) cores on the same system-on-chip (SoC). Scalable and high …
Low-power and variation-aware approximate arithmetic units for image processing applications
M Mirzaei, S Mohammadi - AEU-International Journal of Electronics and …, 2021 - Elsevier
In applications such as image processing and machine learning, imprecision can be
tolerated because of the nature of the application itself or the limitation of human senses. By …
tolerated because of the nature of the application itself or the limitation of human senses. By …
Towards efficient on-chip communication: A survey on silicon nanophotonics and optical networks-on-chip
UU Nisa, J Bashir - Journal of Systems Architecture, 2024 - Elsevier
Silicon nanophotonics, with its high-speed, low-loss optical interconnects, and high
computation capabilities, is seen as one of the promising technologies that can easily …
computation capabilities, is seen as one of the promising technologies that can easily …
BPLight-CNN: A photonics-based backpropagation accelerator for deep learning
Training deep learning networks involves continuous weight updates across the various
layers of the deep network while using a backpropagation (BP) algorithm. This results in …
layers of the deep network while using a backpropagation (BP) algorithm. This results in …
Modeling and exploration of gain competition attacks in optical network-on-chip architectures
Network-on-Chip (NoC) enables energy-efficient communication between numerous
components in System-on-Chip architectures. The optical NoC is widely considered a key …
components in System-on-Chip architectures. The optical NoC is widely considered a key …
Optical Computing for Deep Neural Network Acceleration: Foundations, Recent Developments, and Emerging Directions
S Pasricha - arXiv preprint arXiv:2407.21184, 2024 - arxiv.org
Emerging artificial intelligence applications across the domains of computer vision, natural
language processing, graph processing, and sequence prediction increasingly rely on deep …
language processing, graph processing, and sequence prediction increasingly rely on deep …
Co-designing Photonic Accelerators for Machine Learning on the Edge
Abstract Domain-specific neural network accelerators have seen growing interest in recent
years due to their improved energy-efficiency and inference performance compared to CPUs …
years due to their improved energy-efficiency and inference performance compared to CPUs …
Design of Sparsity Optimized Photonic Deep Learning Accelerators
Sparse neural networks can greatly facilitate the deployment of neural networks on resource-
constrained platforms as they offer compact model sizes while retaining inference accuracy …
constrained platforms as they offer compact model sizes while retaining inference accuracy …
Integrated Photonic AI Accelerators Under Hardware Security Attacks: Impacts and Countermeasures
FG De Magalhaes, M Nikdast… - 2023 IEEE 66th …, 2023 - ieeexplore.ieee.org
Integrated photonics based on silicon photonics platform is driving several application
domains, from enabling ultra-fast chip-scale communication in high-performance computing …
domains, from enabling ultra-fast chip-scale communication in high-performance computing …
EA-based Mitigation of Hardware Trojan Attacks in NoC of Coarse-Grained Reconfigurable Arrays
Z Li, J Wang, Z Huang, Q Wang - … International Conference on …, 2022 - ieeexplore.ieee.org
Coarse-Grained Reconfigurable Arrays (CGRA) im-plemented using FPGA are widely
applied due to the portability and compatibility. As an evolvable hardware (EHW) platform, it …
applied due to the portability and compatibility. As an evolvable hardware (EHW) platform, it …