FPGA Implementation

FPGA implementation focuses on optimizing the performance and energy efficiency of various algorithms, particularly machine learning models, by directly mapping them onto the hardware. Current research emphasizes deploying convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, and other architectures for applications like edge AI, optical communications, and biomedical signal processing, often incorporating techniques like quantization and model compression to reduce resource usage. This approach offers significant advantages in terms of speed, power consumption, and data privacy compared to software-based solutions, impacting fields ranging from industrial automation to high-performance computing.

Papers

November 3, 2024

Energy-Aware FPGA Implementation of Spiking Neural Network with LIF Neurons
Asmer Hamid Ali, Mozhgan Navardi, Tinoosh Mohsenin
Spiking Neural Network Single Neuron Level TinyML Model Tiny Machine Learning SNN Model FPGA Implementation Leaky Integrate and Fire

August 14, 2024

Efficient Edge AI: Deploying Convolutional Neural Networks on FPGA with the Gemmini Accelerator
Federico Nicolas Peccia, Svetlana Pavlitska, Tobias Fleck, Oliver Bringmann
Convolutional Neural Network Field Programmable Gate Array FPGA Implementation

April 26, 2024

Embedded FPGA Developments in 130nm and 28nm CMOS for Machine Learning in Particle Detector Readout
Julia Gonski, Aseem Gupta, Haoyi Jia, Hyunjoon Kim, Lorenzo Rota, Larry Ruckman, Angelo Dragone, Ryan Herbst
Machine Learning Field Programmable Gate Array Multi FPGA Complementary Metal Oxide Semiconductor FPGA Implementation Particle Detector Readout Head

February 23, 2024

Real-Time FPGA Demonstrator of ANN-Based Equalization for Optical Communications
Jonas Ney, Patrick Matalla, Vincent Lauinger, Laurent Schmalen, Sebastian Randel, Norbert Wehn
Field Programmable Gate Array Digital Modulation Optical Communication Optical Network Parametric Equalizer FPGA Implementation Neural Network Based Equalizer Equalization Great

January 5, 2024

A Cost-Efficient FPGA Implementation of Tiny Transformer Model using Neural ODE
Ikumi Okubo, Keisuke Sugiura, Hiroki Matsutani
Neural ODE Lightweight Model Lightweight Transformer Tiny Transformer FPGA Implementation FPGA Resource

November 21, 2023

Harnessing FPGA Technology for Enhanced Biomedical Computation
Nisanur Alici, Kayode Inadagbo, Murat Isik
Long Short Term Memory Field Programmable Gate Array MIT BIH Arrhythmia FPGA Implementation

October 30, 2023

Stochastic Configuration Machines: FPGA Implementation
Matthew J. Felicetti, Dianhui Wang
Field Programmable Gate Array Binary Code FPGA Implementation Stochastic Configuration Network

August 23, 2023

Computational models of object motion detectors accelerated using FPGA technology
Pedro Machado
Spiking Neural Network Computational Model Motion Detection FPGA Implementation Moving Object Detection

June 23, 2023

FPGA Implementation of Convolutional Neural Network for Real-Time Handwriting Recognition
Shichen Qiao, Haining Qiu, Lingkai Zhao, Qikun Liu, Eric J. Hoffman
Machine Learning Convolutional Neural Network Field Programmable Gate Array Handwriting Recognition Machine Learning Architecture Hardware Implementation FPGA Implementation

April 14, 2023

Unsupervised ANN-Based Equalizer and Its Trainable FPGA Implementation
Jonas Ney, Vincent Lauinger, Laurent Schmalen, Norbert Wehn
Neural Network Unsupervised Setting Field Programmable Gate Array FPGA Implementation Neural Network Based Equalizer Blind Equalizer

April 11, 2023

A Hybrid Approach combining ANN-based and Conventional Demapping in Communication for Efficient FPGA-Implementation
Jonas Ney, Bilal Hammoud, Norbert Wehn
Supervised Autoencoder Field Programmable Gate Array Timely Communication Hybrid Approach Energy Efficient Neural Mapping FPGA Implementation

January 12, 2023

Real-time FPGA implementation of the Semi-Global Matching stereo vision algorithm for a 4K/UHD video stream
Mariusz Grabowski, Tomasz Kryjak
Field Programmable Gate Array Stereo Matching High Resolution Video Global Matching FPGA Implementation Stereo Matching Algorithm

December 7, 2022

FPGA Implementation of Multi-Layer Machine Learning Equalizer with On-Chip Training
Keren Liu, Erik Börjeson, Christian Häger, Per Larsson-Edefors
Parametric Equalizer Chip Learning FPGA Implementation Neural Network Based Equalizer Adaptive Machine

August 28, 2022

FFCNN: Fast FPGA based Acceleration for Convolution neural network inference
F. Keddous, H-N. Nguyen, A. Nakib
Direct Convolution Low Rate ACCELERATION Neural Network Inference FPGA Implementation CUDA Kernel OpenCL Code

June 24, 2022

Towards FPGA Implementation of Neural Network-Based Nonlinearity Mitigation Equalizers in Coherent Optical Transmission Systems
Pedro J. Freire, Michael Anderson, Bernhard Spinnler, Thomas Bex, Jaroslaw E. Prilepsky, Tobias A. Eriksson, Nelson Costa, Wolfgang Schairer, Michaela Blott, Antonio Napoli, Sergei K. Turitsyn
Field Programmable Gate Array Neural Topic FPGA Implementation Neural Network Based Equalizer Coherent Optical Nonlinearity Compensation

February 4, 2022

A Fast Network Exploration Strategy to Profile Low Energy Consumption for Keyword Spotting
Arnab Neelim Mazumder, Tinoosh Mohsenin
Field Programmable Gate Array Keyword Spotting FPGA Implementation Network Energy Efficiency

December 17, 2021

Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation
Odrika Iqbal, Victor Isaac Torres Muro, Sameeksha Katoch, Andreas Spanias, Suren Jayasuriya
Practical Algorithm Object Tracking Image Sensor Region of Interest FPGA Implementation Adaptive Subsampling

FPGA Implementation

Papers

Energy-Aware FPGA Implementation of Spiking Neural Network with LIF Neurons

Efficient Edge AI: Deploying Convolutional Neural Networks on FPGA with the Gemmini Accelerator

Embedded FPGA Developments in 130nm and 28nm CMOS for Machine Learning in Particle Detector Readout

Real-Time FPGA Demonstrator of ANN-Based Equalization for Optical Communications

A Cost-Efficient FPGA Implementation of Tiny Transformer Model using Neural ODE

Harnessing FPGA Technology for Enhanced Biomedical Computation

Stochastic Configuration Machines: FPGA Implementation

Computational models of object motion detectors accelerated using FPGA technology

FPGA Implementation of Convolutional Neural Network for Real-Time Handwriting Recognition

Unsupervised ANN-Based Equalizer and Its Trainable FPGA Implementation

A Hybrid Approach combining ANN-based and Conventional Demapping in Communication for Efficient FPGA-Implementation

Real-time FPGA implementation of the Semi-Global Matching stereo vision algorithm for a 4K/UHD video stream

FPGA Implementation of Multi-Layer Machine Learning Equalizer with On-Chip Training

FFCNN: Fast FPGA based Acceleration for Convolution neural network inference

Towards FPGA Implementation of Neural Network-Based Nonlinearity Mitigation Equalizers in Coherent Optical Transmission Systems

A Fast Network Exploration Strategy to Profile Low Energy Consumption for Keyword Spotting

Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation