Cover Image

FireFly-P: FPGA-Accelerated Spiking Neural Network Plasticity for Robust Adaptive Control

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Tenglong, Li, Jindong, Shen, Guobin, Zhao, Dongcheng, Zhang, Qian, Zeng, Yi
Format:	Preprint
Published:	2026
Subjects:	Hardware Architecture
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FireFly-S: Exploiting Dual-Side Sparsity for Spiking Neural Networks Acceleration with Reconfigurable Spatial Architecture
by: Li, Tenglong, et al.
Published: (2024)

FireFly-T: High-Throughput Sparsity Exploitation for Spiking Transformer Acceleration with Dual-Engine Overlay Architecture
by: Li, Tenglong, et al.
Published: (2025)

Hummingbird: A Smaller and Faster Large Language Model Accelerator on Embedded FPGA
by: Li, Jindong, et al.
Published: (2025)

Revealing Untapped DSP Optimization Potentials for FPGA-Based Systolic Matrix Engines
by: Li, Jindong, et al.
Published: (2024)

Pushing up to the Limit of Memory Bandwidth and Capacity Utilization for Efficient LLM Decoding on Embedded FPGA
by: Li, Jindong, et al.
Published: (2025)

An FPGA Compiler for On-the-Fly Adaptive CNN Deployment and Reconfiguration
by: Mazouz, Alaa, et al.
Published: (2025)

Prosperity: Accelerating Spiking Neural Networks via Product Sparsity
by: Wei, Chiyue, et al.
Published: (2025)

A High-Throughput FPGA Accelerator for Lightweight CNNs With Balanced Dataflow
by: Zhao, Zhiyuan, et al.
Published: (2024)

Adaptive Robotic Arm Control with a Spiking Recurrent Neural Network on a Digital Accelerator
by: Linares-Barranco, Alejandro, et al.
Published: (2024)

SIRA: Scaled-Integer Range Analysis for Optimizing FPGA Dataflow Neural Network Accelerators
by: Umuroglu, Yaman, et al.
Published: (2025)

SpikeStream: Accelerating Spiking Neural Network Inference on RISC-V Clusters with Sparse Computation Extensions
by: Manoni, Simone, et al.
Published: (2025)

Online Learning Extreme Learning Machine with Low-Complexity Predictive Plasticity Rule and FPGA Implementation
by: Zang, Zhenya, et al.
Published: (2025)

Real-Time Adaptive Neural Network on FPGA: Enhancing Adaptability through Dynamic Classifier Selection
by: Bouazzaoui, Achraf El, et al.
Published: (2023)

EdgeLLM: A Highly Efficient CPU-FPGA Heterogeneous Edge Accelerator for Large Language Models
by: Huang, Mingqiang, et al.
Published: (2024)

Holistic Optimization Framework for FPGA Accelerators
by: Pouget, Stéphane, et al.
Published: (2025)

SpecMamba: Accelerating Mamba Inference on FPGA with Speculative Decoding
by: Zhong, Linfeng, et al.
Published: (2025)

FPGA-Based Neural Network Accelerators for Space Applications: A Survey
by: Antunes, Pedro, et al.
Published: (2025)

An FPGA-Based SoC Architecture with a RISC-V Controller for Energy-Efficient Temporal-Coding Spiking Neural Networks
by: Sekonji, Mohammad Javad, et al.
Published: (2026)

SPAC: Automating FPGA-based Network Switches with Protocol Adaptive Customization
by: Li, Guoyu, et al.
Published: (2026)

Binary Neural Network Implementation for Handwritten Digit Recognition on FPGA
by: Ertörer, Emir Devlet, et al.
Published: (2025)

TurboFuzz: FPGA Accelerated Hardware Fuzzing for Processor Agile Verification
by: Zhong, Yang, et al.
Published: (2025)

Graphitron: A Domain Specific Language for FPGA-based Graph Processing Accelerator Generation
by: Zhang, Xinmiao, et al.
Published: (2024)

An Efficient Sparse Hardware Accelerator for Spike-Driven Transformer
by: Li, Zhengke, et al.
Published: (2025)

Energy-Efficient FPGA Framework for Non-Quantized Convolutional Neural Networks
by: Athanasiadis, Angelos, et al.
Published: (2025)

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

Bombyx: OpenCilk Compilation for FPGA Hardware Acceleration
by: Shahawy, Mohamed, et al.
Published: (2025)

Implementation and Analysis of Thermometer Encoding in DWN FPGA Accelerators
by: Mecik, Michael, et al.
Published: (2025)

FPGA-Optimized Hardware Accelerator for Fast Fourier Transform and Singular Value Decomposition in AI
by: Ding, Hong, et al.
Published: (2025)

An Optimizing Framework on MLIR for Efficient FPGA-based Accelerator Generation
by: Zhang, Weichuang, et al.
Published: (2024)

Embedded FPGA Acceleration of Brain-Like Neural Networks: Online Learning to Scalable Inference
by: Hafiz, Muhammad Ihsan Al, et al.
Published: (2025)

A PVT-Resilient Subthreshold SRAM-Based In-Memory Computing Accelerator with In-Situ Regulation for Energy-Efficient Spiking Neural Networks
by: Kao, Shih-Hang, et al.
Published: (2026)

A Reconfigurable Framework for AI-FPGA Agent Integration and Acceleration
by: Yunusoglu, Aybars, et al.
Published: (2026)

AceleradorSNN: A Neuromorphic Cognitive System Integrating Spiking Neural Networks and DynamicImage Signal Processing on FPGA
by: Gutierrez, Daniel, et al.
Published: (2026)

Table-Lookup MAC: Scalable Processing of Quantised Neural Networks in FPGA Soft Logic
by: Gerlinghoff, Daniel, et al.
Published: (2024)

CIMPool: Scalable Neural Network Acceleration for Compute-In-Memory using Weight Pools
by: Li, Shurui, et al.
Published: (2025)

SuperUROP: An FPGA-Based Spatial Accelerator for Sparse Matrix Operations
by: Parthasarathy, Rishab
Published: (2025)

An Irredundant and Compressed Data Layout to Optimize Bandwidth Utilization of FPGA Accelerators
by: Ferry, Corentin, et al.
Published: (2024)

LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow
by: Chang, Kaiyan, et al.
Published: (2025)

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

High Utilization Energy-Aware Real-Time Inference Deep Convolutional Neural Network Accelerator
by: Lin, Kuan-Ting, et al.
Published: (2025)