FPGA-Based Neural Network Acceleration

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Overview

The field studies how to map neural-network inference and training onto reconfigurable FPGA logic for edge and real-time systems with tight power or latency limits. Common approaches combine quantization and pruning with pipelined dataflow, systolic or time-multiplexed compute, and high-level synthesis tools such as FINN and hls4ml; LUT-native and event-driven designs target workloads suited to FPGA primitives. Work spans CNNs, transformers, graph networks, and spiking neural networks, using techniques such as sparse execution, on-chip memory reuse, and heterogeneous FPGA systems. The central challenge is balancing accuracy and predictable end-to-end latency against limited logic, compute, memory bandwidth, and energy, while ensuring results hold across devices and deployment conditions.

Latest papers

CardsList

91 papers7 papers in the last four weeks, down 36% on the four weeks before. 0.0% of all new papers.

  1. A Multiplication-Free Spike-Time Learning Algorithm and its Efficient FPGA Implementation for On-Chip SNN Training

    Apr 25, 2026Maryam Mirsadeghi, Mojtaba Mirbagheri, Saeed Reza KheradpishehSpiking Neural NetworksEdge ML

    Maryam Mirsadeghi, Mojtaba Mirbagheri, Saeed Reza Kheradpisheh

  2. HGQ-LUT: Fast LUT-Aware Training and Efficient Architectures for DNN Inference

    Apr 24, 2026Chang Sun, Zhiqiang Que, Bakhtiar Zadeh +4Efficient Neural Network InferenceFPGA-Based Neural Network Acceleration

    California Institute of Technology, Pasadena, CA, USA · University of Bristol, UK · Imperial College London, UK +1

  3. Algorithm and Hardware Co-Design for Efficient Complex-Valued Uncertainty Estimation

    Apr 21, 2026Zehuan Zhang, Mark Chen, He Li +1Bayesian Neural NetworksUncertainty Quantification

    Department of Computing, Imperial College London · 2Southeast University

  4. Design Rules for Extreme-Edge Scientific Computing on AI Engines

    Apr 21, 2026Zhenghua Ma, G Abarajithan, Dimitrios Danopoulos +3Scientific MLEdge ML

    University of California San Diego, La Jolla, CA, USA · European Organization for Nuclear Research (CERN), Geneva, Switzerland

  5. AI-Enabled Covert Channel Detection in RF Receiver Architectures

    Apr 16, 2026Abdelrahman Emad Abdelazim, Alan Rodrigo Diaz-Rizo, Hassan Aboushady +1CybersecurityConvolutional Neural Networks

    Sorbonne Universit´e, CNRS, LIP6, Paris, France

  6. Hardware-Efficient Neuro-Symbolic Networks with the Exp-Minus-Log Operator

    Apr 15, 2026Eymen IpekNeurosymbolic LearningEfficient Neural Network Inference

    Institute of Automotive Engineering, Graz University of Technology, Austria

  7. Integer-Only Operations on Extreme Learning Machine Test Time Classification

    Apr 6, 2026Emerson Lopes Machadoa, Cristiano Jacques Miosso, Ricardo Pezzuol JacobiEfficient Neural Network InferenceNeural Network Quantization

    Dept. of Computer Science, University of Brasilia, Brazil · University of Brasilia at Gama, Brazil

  8. L-SPINE: A Low-Precision SIMD Spiking Neural Compute Engine for Resource-efficient Edge Inference

    Apr 4, 2026Sonu Kumar, Mukul Lokhande, Santosh Kumar VishvakarmaEfficient Neural Network InferenceSpiking Neural Networks

    Centre for Advanced Electronics, Indian Institute of Technology Indore, Simrol 453552, Indore, India · Dept. of Electrical Engineering, Indian Institute of Technology Indore, Simrol 453552, Indore, India

  9. YANA: Bridging the Neuromorphic Simulation-to-Hardware Gap

    Apr 3, 2026Brian Pachideh, Sven Nitzsche, Moritz Neher +5Neuromorphic ComputingSpiking Neural Networks

    FZI Research Center for Information Technology, Karlsruhe, Germany · Karlsruhe Institute of Technology, Karlsruhe, Germany · Infineon Technologies, Dresden, Germany

  10. AceleradorSNN: A Neuromorphic Cognitive System Integrating Spiking Neural Networks and DynamicImage Signal Processing on FPGA

    Mar 30, 2026Daniel Gutierrez, Ruben Martinez, Leyre Arnedo +2Neuromorphic ComputingFPGA-Based Neural Network Acceleration

    Intigia R&D Department, Alicante, Spain

  11. TsetlinWiSARD: On-Chip Training of Weightless Neural Networks using Tsetlin Automata on FPGAs

    Mar 25, 2026Shengyu Duan, Marcos L. L. Sartori, Rishad Shafik +1On-Device TrainingFPGA-Based Neural Network Acceleration

    Microsystems Research Group, Newcastle University · Literal Labs, Newcastle upon Tyne, UK

  12. TRINE: A Token-Aware, Runtime-Adaptive FPGA Inference Engine for Multimodal AI

    Mar 24, 2026Hyunwoo Oh, Hanning Chen, Sanggeon Yun +5Efficient Multimodal InferenceFPGA Acceleration

    University of California, Irvine · Purdue University Northwest · Qualcomm +1

  13. A reconfigurable smart camera implementation for jet flames characterization based on an optimized segmentation model

    Mar 19, 2026Gerardo Valente Vazquez-Garcia, Carmina Perez Guerrero, Eduardo Garduño +7Semantic SegmentationEdge Inference

    Universidad Autónoma de Guadalajara, Maestria en Ciencias Computacionales, Guadalajara, 45017, Jalisco, Mexico · Escuela de Ingeniería y Ciencias, Tecnológico de Monterrey, Monterrey, 64849, N.L., Mexico · Universidad de las Américas Puebla, Department of Chemical, Food and Environmental Engineering, Puebla, 72810, Mexico +1

  14. An FPGA-Based SoC Architecture with a RISC-V Controller for Energy-Efficient Temporal-Coding Spiking Neural Networks

    Mar 17, 2026Mohammad Javad Sekonji, Ali Mahani, Maryam Mirsadeghi +1Spiking Neural NetworksFPGA-Based Neural Network Acceleration

    Shahid Bahonar University of Kerman, Kerman, Iran · Brandenburg Technical University, Cottbus, Germany · Tallinn University of Technology, Tallinn, Estonia

  15. Evaluating Four FPGA-accelerated Space Use Cases based on Neural Network Algorithms for On-board Inference

    Mar 14, 2026Pedro Antunes, Muhammad Ihsan Al Hafiz, Jonah Ekelund +4FPGA-Based Neural Network AccelerationEfficient Neural Network Inference

    Department of Computer Science, Kungliga Tekniska högskolan (KTH), Stockholm, Sweden · Plasma-astrophysics, KU Leuven, Leuven, Belgium

  16. Exploiting temporal parallelism for LSTM Autoencoder acceleration on FPGA

    Mar 14, 2026Aimilios Leftheriotis, Dimosthenis Masouros, Dimitrios Soudris +1FPGA-Based Neural Network AccelerationEfficient Neural Network Inference

    University of Patras, Patras, Greece · National Technical University of Athens, Athens, Greece

  17. A Persistent-State Dataflow Accelerator for Memory-Bound Linear Attention Decode on FPGA

    Mar 6, 2026Neelesh Gupta, Peter Wang, Rajgopal Kannan +1LLM Inference AccelerationFPGA-Based Neural Network Acceleration

    University of Southern California, USA · DEVCOM Army Research Office, USA

  18. TinyIceNet: Low-Power SAR Sea Ice Segmentation for On-Board FPGA Inference

    Mar 3, 2026Mhd Rashed Al Koutayni, Mohamed Selim, Gerd Reis +2Remote Sensing Image SegmentationFPGA-Based Neural Network Acceleration

    German Research Center for Artificial Intelligence, DFKI, 67663 Kaiserslautern, Germany

  19. SHIELD8-UAV: Sequential 8-bit Hardware Implementation of a Precision-Aware 1D-F-CNN for Low-Energy UAV Acoustic Detection and Temporal Tracking

    Mar 1, 2026Susmita Ghanta, Karan Nathwani, Rohit ChaurasiyaFPGA-Based Neural Network AccelerationEdge Inference

    Dept. of Electrical Engineering, Indian Institute of Technology Jammu, Jagti 181221, India

  20. BiKA: Kolmogorov-Arnold-Network-inspired Ultra Lightweight Neural Network Hardware Accelerator

    Feb 26, 2026Yuhao Liu, Salim Ullah, Akash KumarNeural Network Hardware AccelerationEfficient Neural Network Inference

    Ruhr University Bochum, Germany · Dresden University of Technology, Germany · Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden/Leipzig), Germany

  21. Bitwise Systolic Array Architecture for Runtime-Reconfigurable Multi-precision Quantized Multiplication on Hardware Accelerators

    Feb 26, 2026Yuhao Liu, Salim Ullah, Akash KumarMixed-Precision QuantizationFPGA-Based Neural Network Acceleration

    Dresden University of Technology, Germany · Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden/Leipzig), Germany · Ruhr University Bochum, Germany

  22. Architectural Design and Performance Analysis of FPGA based AI Accelerators: A Comprehensive Review

    Feb 25, 2026Soumita Chatterjee, Sudip Ghosh, Tamal Ghosh +1FPGA AccelerationFPGA-Based Neural Network Acceleration

    Indian Institute of Engineering Science and Technology, Shibpur, India

  23. Sensitivity-Guided Framework for Pruned and Quantized Reservoir Computing Accelerators

    Feb 24, 2026Atousa Jafari, Mahdi Taheri, Hassan Ghasemzadeh Mohammadi +2Reservoir ComputingNeural Network Compression

    Paderborn University, Paderborn, Germany · Brandenburg Technical University, Cottbus, Germany · Tallinn University of Technology, Tallinn, Estonia +1

  24. CORVET: A CORDIC-Powered, Resource-Frugal Mixed-Precision Vector Processing Engine for High-Throughput AIoT applications

    Feb 22, 2026Sonu Kumar, Mohd Faisal Khan, Mukul Lokhande +1AI Accelerator InferenceEfficient Neural Network Inference

    Centre for Advanced Electronics, IIT Indore. · NSDCS Research Group, Dept. of Electrical Engineering at IIT Indore.

  25. Hardware-accelerated graph neural networks: an alternative approach for neuromorphic event-based audio classification and keyword spotting on SoC FPGA

    Feb 18, 2026Kamil Jeziorek, Piotr Wzorek, Krzysztof Blachut +6Audio ClassificationKeyword Spotting

    The AGH University of Krakow, Poland · Graduate School of Science and Technology, Keio University, Japan · CEA-List, Université Grenoble Alpes, France

  26. Data-Rate-Aware High-Speed CNN Inference on FPGAs

    Feb 18, 2026Tobias Habermann, Martin KummEfficient Neural Network InferenceFPGA-Based Neural Network Acceleration

    Department of Applied Computer Science, Fulda University of Applied Sciences, Fulda, 36039, Germany

  27. Enabling Low-Latency Machine learning on Radiation-Hard FPGAs with hls4ml

    Feb 17, 2026Katya Govorkova, Julian Garcia Pardinas, Vladimir Loncar +5Hardware-Aware QuantizationFPGA-Based Neural Network Acceleration

    Massachusetts Institute of Technology (MIT), 77 Massachusetts Ave, Cambridge, MA 02139, USA · Department of Experimental Physics, European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland · University of Milano-Bicocca (Italy), and Department of Experimental Physics, European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland

  28. BitLogic: Training Framework for Gradient-Based FPGA-Native Neural Networks

    Feb 7, 2026Simon Bührer, Andreas Plesner, Aczel Till +1Efficient Neural Network InferenceFPGA-Based Neural Network Acceleration

    ETH Zurich · Zurich, Switzerland

  29. SparsePixels: Efficient Convolution for Sparse Data on FPGAs

    Dec 5, 2025Ho Fung Tsoi, Dylan Rankin, Vladimir Loncar +1Efficient Neural Network InferenceConvolutional Neural Networks

    University of Pennsylvania, USA · Institute of Physics Belgrade, Serbia · Massachusetts Institute of Technology, USA +1

  30. Quantization Effects of Artificial Neural Networks for Embedded Edge-Computing Applications

    Nov 7, 2025Alperen Aksoy, Ilja Bekman, Vesselin Dimitrov +6Neural Network QuantizationBinary Neural Networks

    Peter Grünberg Institute (PGI), Integrated Computing Architectures (ICA | PGI-4), Forschungszentrum Jülich GmbH, Germany · Center for Particle Physics Siegen, Department für Physik, Universität Siegen, Germany · Faculty of Engineering, JARA-FIT Institute for Quantum Information, Forschungszentrum Jülich GmbH and RWTH Aachen University, Germany +1