Cover Image

When Spike Sparsity Does Not Translate to Deployed Cost: VS-WNO on Jetson Orin Nano

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yoo, Jason, Garg, Shailesh, Chakraborty, Souvik, Alam, Syed Bahauddin
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Hardware Architecture Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

Core Placement Optimization of Many-core Brain-Inspired Near-Storage Systems for Spiking Neural Network Training
by: Zhu, Xueke, et al.
Published: (2024)

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

IzhiRISC-V -- a RISC-V-based Processor with Custom ISA Extension for Spiking Neuron Networks Processing with Izhikevich Neurons
by: Szczerek, Wiktor J., et al.
Published: (2025)

Hardware-Software Co-Design for Event-Driven SNN Deployment on Low-Cost Neuromorphic FPGAs
by: Lee, Jiwoon, et al.
Published: (2026)

Reducing ADC Front-end Costs During Training of On-sensor Printed Multilayer Perceptrons
by: Afentaki, Florentia, et al.
Published: (2024)

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

Fast Algorithms for Spiking Neural Network Simulation with FPGAs
by: Lindqvist, Björn A., et al.
Published: (2024)

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

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks
by: Xu, Boxun, et al.
Published: (2025)

To Spike or Not To Spike: A Digital Hardware Perspective on Deep Learning Acceleration
by: Ottati, Fabrizio, et al.
Published: (2023)

Energy-Aware FPGA Implementation of Spiking Neural Network with LIF Neurons
by: Ali, Asmer Hamid, et al.
Published: (2024)

LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks
by: Yin, Ruokai, et al.
Published: (2024)

SRAM-Based Compute-in-Memory Accelerator for Linear-decay Spiking Neural Networks
by: Shang, Hongyang, et al.
Published: (2026)

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

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

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration
by: Aizaz, Zainab, et al.
Published: (2025)

Spiker+: a framework for the generation of efficient Spiking Neural Networks FPGA accelerators for inference at the edge
by: Carpegna, Alessio, et al.
Published: (2024)

Efficient Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA
by: Mehrabi, Ali, et al.
Published: (2023)

Towards 3D Acceleration for low-power Mixture-of-Experts and Multi-Head Attention Spiking Transformers
by: Xu, Boxun, et al.
Published: (2024)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

A Reconfigurable Stream-Based FPGA Accelerator for Bayesian Confidence Propagation Neural Networks
by: Hafiz, Muhammad Ihsan Al, et al.
Published: (2025)