Imagen de Portada

Towards Efficient Deployment of Hybrid SNNs on Neuromorphic and Edge AI Hardware

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Seekings, James, Chandarana, Peyton, Ardakani, Mahsa, Mohammadi, MohammadReza, Zand, Ramtin
Formato:	Preprint
Publicado:	2024
Materias:	Neural and Evolutionary Computing Artificial Intelligence Hardware Architecture Computer Vision and Pattern Recognition Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware
por: Ronzani, Marco, et al.
Publicado: (2026)

Flexi-NeurA: A Configurable Neuromorphic Accelerator with Adaptive Bit-Precision Exploration for Edge SNNs
por: Farahani, Mohammad, et al.
Publicado: (2026)

Realtime Facial Expression Recognition: Neuromorphic Hardware vs. Edge AI Accelerators
por: Smith, Heath, et al.
Publicado: (2024)

YANA: Bridging the Neuromorphic Simulation-to-Hardware Gap
por: Pachideh, Brian, et al.
Publicado: (2026)

An Efficient Multicast Addressing Encoding Scheme for Multi-Core Neuromorphic Processors
por: Su, Zhe, et al.
Publicado: (2024)

A Quarter of a Century of Neuromorphic Architectures on FPGAs -- an Overview
por: Szczerek, Wiktor J., et al.
Publicado: (2025)

Memory Wall is not gone: A Critical Outlook on Memory Architecture in Digital Neuromorphic Computing
por: Yousefzadeh, Amirreza, et al.
Publicado: (2026)

Spiking Transformer Hardware Accelerators in 3D Integration
por: Xu, Boxun, et al.
Publicado: (2024)

FlexNN: A Dataflow-aware Flexible Deep Learning Accelerator for Energy-Efficient Edge Devices
por: Raha, Arnab, et al.
Publicado: (2024)

UniSpike: Accelerating Spiking Neural Networks on Neuromorphic Systems via Eliminating Address Redundancy
por: Xing, Qinghui, et al.
Publicado: (2026)

HENNC: Hardware Engine for Artificial Neural Network-based Chaotic Oscillators
por: Vaziri, Mobin, et al.
Publicado: (2024)

A Deep Neural Network Deployment Based on Resistive Memory Accelerator Simulation
por: Maram, Tejaswanth Reddy, et al.
Publicado: (2023)

A 0.5-V Linear Neuromorphic Voltage-to-Spike Encoder Using a Bulk-Driven Transconductor
por: Akbari, Meysam, et al.
Publicado: (2026)

Functional Stability of Software-Hardware Neural Network Implementation The NeuroComp Project
por: Oleksii, Bychkov, et al.
Publicado: (2025)

Hardware-Aware Model Design and Training of Silicon-based Analog Neural Networks
por: Filippeschi, Giulio, et al.
Publicado: (2025)

SNAP-V: A RISC-V SoC with Configurable Neuromorphic Acceleration for Small-Scale Spiking Neural Networks
por: Gunawardana, Kanishka, et al.
Publicado: (2026)

RAMAN: Resource-efficient ApproxiMate Posit Processing for Algorithm-Hardware Co-desigN
por: Khan, Mohd Faisal, et al.
Publicado: (2025)

Hardware-Friendly Implementation of Physical Reservoir Computing with CMOS-based Time-domain Analog Spiking Neurons
por: Kimura, Nanako, et al.
Publicado: (2024)

Full Feature Spiking Neural Network Simulation on Micro-Controllers for Neuromorphic Applications at the Edge
por: Niedermeier, L., et al.
Publicado: (2026)

When Routers, Switches and Interconnects Compute: A processing-in-interconnect Paradigm for Scalable Neuromorphic AI
por: Srivatsav, Madhuvanthi, et al.
Publicado: (2025)

General-purpose Dataflow Model with Neuromorphic Primitives
por: Zhang, Weihao, et al.
Publicado: (2024)

Benchmarking the Energy Cost of Assurance in Neuromorphic Edge Robotics
por: Kaczmarek, Sylvester
Publicado: (2026)

Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems
por: Putra, Rachmad Vidya Wicaksana, et al.
Publicado: (2025)

Towards Topology-Aware Very Large-Scale Photonic AI Accelerators
por: Jahannia, Belal, et al.
Publicado: (2026)

ReLANCE: A Resource-Efficient Low-Latency Cortical Neural Acceleration Engine
por: Kumar, Sonu, et al.
Publicado: (2025)

Catwalk: Unary Top-K for Efficient Ramp-No-Leak Neuron Design for Temporal Neural Networks
por: Lister, Devon, et al.
Publicado: (2025)

Deep-Unrolling Multidimensional Harmonic Retrieval Algorithms on Neuromorphic Hardware
por: Andrei, Vlad C., et al.
Publicado: (2024)

E2ATST: A Temporal-Spatial Optimized Energy-Efficient Architecture for Training Spiking Transformer
por: Ma, Yunhao, et al.
Publicado: (2025)

What Is Next for LLMs? Next-Generation AI Computing Hardware Using Photonic Chips
por: Li, Renjie, et al.
Publicado: (2025)

A Realistic Simulation Framework for Analog/Digital Neuromorphic Architectures
por: Quintana, Fernando M., et al.
Publicado: (2024)

Hybrid Synaptic Structure for Spiking Neural Network Realization
por: Razmkhah, Sasan, et al.
Publicado: (2023)

TNNGen: Automated Design of Neuromorphic Sensory Processing Units for Time-Series Clustering
por: Vellaisamy, Prabhu, et al.
Publicado: (2024)

Stuck-at Faults in ReRAM Neuromorphic Circuit Array and their Correction through Machine Learning
por: Sawal, Vedant, et al.
Publicado: (2024)

Embedding Hardware Approximations in Discrete Genetic-based Training for Printed MLPs
por: Afentaki, Florentia, et al.
Publicado: (2024)

NeuroFlex: Column-Exact ANN-SNN Co-Execution Accelerator with Cost-Guided Scheduling
por: Manjunath, Varun, et al.
Publicado: (2025)

Darwin3: A large-scale neuromorphic chip with a Novel ISA and On-Chip Learning
por: Ma, De, et al.
Publicado: (2023)

SAGA: Synthesis Augmentation with Genetic Algorithms for In-Memory Sequence Optimization
por: Robins, Andey, et al.
Publicado: (2024)

Automated Placement of Analog Integrated Circuits using Priority-based Constructive Heuristic
por: Grus, Josef, et al.
Publicado: (2024)

Variability-Aware Approximate Circuit Synthesis via Genetic Optimization
por: Balaskas, Konstantinos, et al.
Publicado: (2023)

Wet TinyML: Chemical Neural Network Using Gene Regulation and Cell Plasticity
por: Somathilaka, Samitha, et al.
Publicado: (2024)