A design flow for scheduling spiking deep convolutional neural networks on heterogeneous neuromorphic system-on-chip

A Das - ACM Transactions on Embedded Computing Systems, 2023 - dl.acm.org
Neuromorphic systems-on-chip (NSoCs) integrate CPU cores and neuromorphic hardware
accelerators on the same chip. These platforms can execute spiking deep convolutional …

Hardware-software co-design for on-chip learning in AI systems

ML Varshika, AK Mishra, N Kandasamy… - … of the 28th Asia and South …, 2023 - dl.acm.org
Spike-based convolutional neural networks (CNNs) are empowered with on-chip learning in
their convolution layers, enabling the layer to learn to detect features by combining those …

Latest Innovations in Intelligent Network-on-Chip Architectures: A Systematic Review

E Kakoulli - 2024 17th IEEE/ACM International Workshop on …, 2024 - ieeexplore.ieee.org
This review investigates the latest advancements in intelligent Network-on-Chip (NoC)
architectures, focusing on innovations from 2022 to 2024. The integration of Artificial …

Preserving Privacy of Neuromorphic Hardware From PCIe Congestion Side-Channel Attack

A Das - 2023 IEEE 47th Annual Computers, Software, and …, 2023 - ieeexplore.ieee.org
Neuromorphic systems are equipped with software-managed scratchpad to cache
intermediate results and synaptic weights of a machine learning model. PCIe (Peripheral …

A scalable dynamic segmented bus interconnect for neuromorphic architectures

PK Huynh, I Mustafazade, F Catthoor… - IEEE embedded …, 2024 - ieeexplore.ieee.org
Large-scale neuromorphic architectures consist of computing tiles that communicate spikes
using a shared interconnect. We propose ADIONA, a dynamic segmented bus interconnect …

An integrated toolbox for creating neuromorphic edge applications

L Niedermeier, N Dutt, JL Krichmar - … Computing and Engineering, 2025 - iopscience.iop.org
Abstract Spiking Neural Networks (SNNs) and neuromorphic models are believed to be
more efficient in general and have more biological realism than the activation functions …

HeterGenMap: An Evolutionary Map** Framework for Heterogeneous NoC-based Neuromorphic Systems

KN Dang, NAV Doan, ND Nguyen, AB Abdallah - IEEE Access, 2023 - ieeexplore.ieee.org
While task map** for multi-core systems is known as an NP-hard problem, map** for
neuromorphic systems even scale it up due to a high number of neurons per core and a high …

LSM-Based Hotspot Prediction and Hotspot-Aware Routing in NoC-Based Neuromorphic Processor

Z Kang, J Zhu, X **ao, S Li, L Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The traffic patterns of spiking neural networks (SNNs) exhibit high variability and stochastic,
leading to the emergence of elevated traffic hotspots on the network-on-chip (NoC)-based …

In-Memory Computing: The Emerging Computing Topic in the Post-von Neumann Era

P Montuschi, YH Chang, V Piuri - Computer, 2023 - ieeexplore.ieee.org
In-Memory Computing: The Emerging Computing Topic in the Post-von Neumann Era Page
1 SPOTLIGHT ON TRANSACTIONS 4 COMPUTER PUBLISHED BY THE IEEE COMPUTER …

SONA: A Bio-Inspired, Self-Organizing Connective Fabric for Neuromorphic Circuits and FPGAs

D Battel, AC Parker - 2023 International Joint Conference on …, 2023 - ieeexplore.ieee.org
Mature biological neurons continually grow new connections in real-time, as learning
occurs. To support similar life-long learning in silicon, it is important to build neuromorphic …