FPGA-based Acceleration for Convolutional Neural Networks: A Comprehensive Review
Fuente:
arXiv
Guardado en:
| Autores principales: | Jiang, Junye, Zhou, Yaan, Gong, Yuanhao, Yuan, Haoxuan, Liu, Shuanglong |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
An FPGA-Based Reconfigurable Accelerator for Convolution-Transformer Hybrid EfficientViT
por: Shao, Haikuo, et al.
Publicado: (2024)
por: Shao, Haikuo, et al.
Publicado: (2024)
Accelerating Transposed Convolutions on FPGA-based Edge Devices
por: Haris, Jude, et al.
Publicado: (2025)
por: Haris, Jude, et al.
Publicado: (2025)
Evaluating Four FPGA-accelerated Space Use Cases based on Neural Network Algorithms for On-board Inference
por: Antunes, Pedro, et al.
Publicado: (2026)
por: Antunes, Pedro, et al.
Publicado: (2026)
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
por: You, Haoran, et al.
Publicado: (2021)
por: You, Haoran, et al.
Publicado: (2021)
OPIMA: Optical Processing-In-Memory for Convolutional Neural Network Acceleration
por: Sunny, Febin, et al.
Publicado: (2024)
por: Sunny, Febin, et al.
Publicado: (2024)
SynapticCore-X: A Modular Neural Processing Architecture for Low-Cost FPGA Acceleration
por: Parameshwara, Arya
Publicado: (2025)
por: Parameshwara, Arya
Publicado: (2025)
A Persistent-State Dataflow Accelerator for Memory-Bound Linear Attention Decode on FPGA
por: Gupta, Neelesh, et al.
Publicado: (2026)
por: Gupta, Neelesh, et al.
Publicado: (2026)
RISC-V Based TinyML Accelerator for Depthwise Separable Convolutions in Edge AI
por: Yildirim, Muhammed, et al.
Publicado: (2025)
por: Yildirim, Muhammed, et al.
Publicado: (2025)
An FPGA-Based Accelerator Enabling Efficient Support for CNNs with Arbitrary Kernel Sizes
por: Wang, Miaoxin, et al.
Publicado: (2024)
por: Wang, Miaoxin, et al.
Publicado: (2024)
SafeLight: Enhancing Security in Optical Convolutional Neural Network Accelerators
por: Afifi, Salma, et al.
Publicado: (2024)
por: Afifi, Salma, et al.
Publicado: (2024)
CORE: Constraint-Aware One-Step Reinforcement Learning for Simulation-Guided Neural Network Accelerator Design
por: Xiao, Yifeng, et al.
Publicado: (2025)
por: Xiao, Yifeng, et al.
Publicado: (2025)
FPGA-Enabled Machine Learning Applications in Earth Observation: A Systematic Review
por: Léonard, Cédric, et al.
Publicado: (2025)
por: Léonard, Cédric, et al.
Publicado: (2025)
Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective
por: Li, Jinhao, et al.
Publicado: (2024)
por: Li, Jinhao, et al.
Publicado: (2024)
Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA
por: Zhang, Zehuan, et al.
Publicado: (2024)
por: Zhang, Zehuan, et al.
Publicado: (2024)
A Cost-Efficient FPGA Implementation of Tiny Transformer Model using Neural ODE
por: Okubo, Ikumi, et al.
Publicado: (2024)
por: Okubo, Ikumi, et al.
Publicado: (2024)
An FPGA-Based SoC Architecture with a RISC-V Controller for Energy-Efficient Temporal-Coding Spiking Neural Networks
por: Sekonji, Mohammad Javad, et al.
Publicado: (2026)
por: Sekonji, Mohammad Javad, et al.
Publicado: (2026)
Sustainable Transformer Neural Network Acceleration with Stochastic Photonic Computing
por: Afifi, S., et al.
Publicado: (2026)
por: Afifi, S., et al.
Publicado: (2026)
Accelerating Sparse Graph Neural Networks with Tensor Core Optimization
por: Wu, Ka Wai
Publicado: (2024)
por: Wu, Ka Wai
Publicado: (2024)
ARTEMIS: A Mixed Analog-Stochastic In-DRAM Accelerator for Transformer Neural Networks
por: Afifi, Salma, et al.
Publicado: (2024)
por: Afifi, Salma, et al.
Publicado: (2024)
Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults
por: Alama, Youssef A. Ait, et al.
Publicado: (2024)
por: Alama, Youssef A. Ait, et al.
Publicado: (2024)
Layer-wise Weight Selection for Power-Efficient Neural Network Acceleration
por: Fang, Jiaxun, et al.
Publicado: (2025)
por: Fang, Jiaxun, et al.
Publicado: (2025)
PhotoGAN: Generative Adversarial Neural Network Acceleration with Silicon Photonics
por: Suresh, Tharini, et al.
Publicado: (2025)
por: Suresh, Tharini, et al.
Publicado: (2025)
Boolean-aware Boolean Circuit Classification: A Comprehensive Study on Graph Neural Network
por: Ni, Liwei, et al.
Publicado: (2024)
por: Ni, Liwei, et al.
Publicado: (2024)
Binary Weight Multi-Bit Activation Quantization for Compute-in-Memory CNN Accelerators
por: Zhou, Wenyong, et al.
Publicado: (2025)
por: Zhou, Wenyong, et al.
Publicado: (2025)
FPGA-Accelerated RISC-V ISA Extensions for Efficient Neural Network Inference on Edge Devices
por: Parameshwara, Arya, et al.
Publicado: (2025)
por: Parameshwara, Arya, et al.
Publicado: (2025)
EVA: Accelerating LLM Decoding via an Efficient Vector Quantization Architecture
por: Duan, Bowen, et al.
Publicado: (2026)
por: Duan, Bowen, et al.
Publicado: (2026)
LUTMUL: Exceed Conventional FPGA Roofline Limit by LUT-based Efficient Multiplication for Neural Network Inference
por: Xie, Yanyue, et al.
Publicado: (2024)
por: Xie, Yanyue, et al.
Publicado: (2024)
Accelerating Neural Networks for Large Language Models and Graph Processing with Silicon Photonics
por: Afifi, Salma, et al.
Publicado: (2024)
por: Afifi, Salma, et al.
Publicado: (2024)
Exploring Quantization and Mapping Synergy in Hardware-Aware Deep Neural Network Accelerators
por: Klhufek, Jan, et al.
Publicado: (2024)
por: Klhufek, Jan, et al.
Publicado: (2024)
Exploring FPGA designs for MX and beyond
por: Samson, Ebby, et al.
Publicado: (2024)
por: Samson, Ebby, et al.
Publicado: (2024)
Torch2Chip: An End-to-end Customizable Deep Neural Network Compression and Deployment Toolkit for Prototype Hardware Accelerator Design
por: Meng, Jian, et al.
Publicado: (2024)
por: Meng, Jian, et al.
Publicado: (2024)
Optical Computing for Deep Neural Network Acceleration: Foundations, Recent Developments, and Emerging Directions
por: Pasricha, Sudeep
Publicado: (2024)
por: Pasricha, Sudeep
Publicado: (2024)
A Survey on Hardware Accelerators for Large Language Models
por: Kachris, Christoforos
Publicado: (2024)
por: Kachris, Christoforos
Publicado: (2024)
PolyLUT: Learning Piecewise Polynomials for Ultra-Low Latency FPGA LUT-based Inference
por: Andronic, Marta, et al.
Publicado: (2023)
por: Andronic, Marta, et al.
Publicado: (2023)
DAISM: Digital Approximate In-SRAM Multiplier-based Accelerator for DNN Training and Inference
por: Sonnino, Lorenzo, et al.
Publicado: (2023)
por: Sonnino, Lorenzo, et al.
Publicado: (2023)
On-Sensor Convolutional Neural Networks with Early-Exits
por: Shalby, Hazem Hesham Yousef, et al.
Publicado: (2025)
por: Shalby, Hazem Hesham Yousef, et al.
Publicado: (2025)
Memory-Efficient FPGA Implementation of Stochastic Simulated Annealing
por: Shin, Duckgyu, et al.
Publicado: (2026)
por: Shin, Duckgyu, et al.
Publicado: (2026)
Exploiting temporal parallelism for LSTM Autoencoder acceleration on FPGA
por: Leftheriotis, Aimilios, et al.
Publicado: (2026)
por: Leftheriotis, Aimilios, et al.
Publicado: (2026)
Energy-Efficient FPGA Framework for Non-Quantized Convolutional Neural Networks
por: Athanasiadis, Angelos, et al.
Publicado: (2025)
por: Athanasiadis, Angelos, et al.
Publicado: (2025)
EPIM: Efficient Processing-In-Memory Accelerators based on Epitome
por: Wang, Chenyu, et al.
Publicado: (2023)
por: Wang, Chenyu, et al.
Publicado: (2023)
Ejemplares similares
-
An FPGA-Based Reconfigurable Accelerator for Convolution-Transformer Hybrid EfficientViT
por: Shao, Haikuo, et al.
Publicado: (2024) -
Accelerating Transposed Convolutions on FPGA-based Edge Devices
por: Haris, Jude, et al.
Publicado: (2025) -
Evaluating Four FPGA-accelerated Space Use Cases based on Neural Network Algorithms for On-board Inference
por: Antunes, Pedro, et al.
Publicado: (2026) -
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
por: You, Haoran, et al.
Publicado: (2021) -
OPIMA: Optical Processing-In-Memory for Convolutional Neural Network Acceleration
por: Sunny, Febin, et al.
Publicado: (2024)