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. Keeping Inference in the Radio: Design and Measurement of a Spiking Accelerator for mmWave ISAC Activity Recognition

    Oct 27, 2026Anthony Sánchez, Rafael Ruiz, José A. Belloch +2Spiking Neural NetworksFPGA-Based Neural Network Acceleration

    IMDEA Networks Institute, Madrid, Spain · Universidad Carlos III de Madrid, Leganés, Spain

  2. Realizing Low-Precision Storage and Sparse Execution in a Folded FPGA Speech Enhancer

    Oct 26, 2026Clément LarocheFPGA-Based Neural Network AccelerationHardware-Aware Quantization

    Audio Research, GN A/S, Ballerup, Denmark

  3. A Resource-Efficient and Precision-Scalable FPGA Accelerator for Spiking Neural Networks Using Minifloat Arithmetic

    Oct 23, 2026Ali Mehrabi, Philip C. JoseFPGA-Based Neural Network AccelerationSpiking Neural Networks

    School of Engineering, Computing, and Science, Western Sydney University, Sydney, Australia

  4. LEAF: LUT-aware Efficient Attention on FPGAs

    Oct 19, 2026Arianna Cox, Chang Sun, Lauri Laatu +7Efficient Transformer InferenceFPGA-Based Neural Network Acceleration

    Imperial College London, United Kingdom · California Institute of Technology, USA · University of Bristol, United Kingdom

  5. FALCON: FPGA-Accelerated Latency-Certifiable Occupancy Networks for Camera-Based Autonomous Driving

    Oct 15, 2026Haohua Que, Mingkai Liu, Handong YaoAutonomous Driving PerceptionFPGA-Based Neural Network Acceleration

    College of Engineering, University of Georgia, Athens, Georgia, USA

  6. Compiling Multi-Threshold Operators for Quantized Non-Monotonic and Fine-Granular Activations in Custom-Tailored DNN Accelerators

    Oct 15, 2026Christoph Berganski, Felix Jentzsch, Marco PlatznerActivation QuantizationNeural Network Activation Functions

    Computer Engineering Group, Paderborn University, Paderborn, Germany

  7. An FPGA-Based Spiking Neural Network for Spatiotemporal Pattern Learning and Classification

    Oct 12, 2026Jingang Jin, Yue Ma, Zhenhang Zhang +1Spiking Neural NetworksFPGA-Based Neural Network Acceleration

    Department of Electrical Engineering and Computer Science Syracuse University, Syracuse, New York, USA

  8. LocalTrain: Integer-Only Local Learning for Energy-Efficient CNN Training on Edge FPGAs

    Oct 12, 2026Shiqi Ding, Xuanyu Liang, Xinyang Liu +4On-Device TrainingEnergy-Efficient ML

    University of Cambridge · University College London · University of Bristol

  9. Co-Optimizing Graph Sparsification and Approximate Computing for Energy-Efficient FPGA-Based GCN Inference

    Oct 5, 2026Nathaniel Kaye Mellor, Shreejith Shanker, George FlorosEdge ComputingGraph Sparsification

    Department of Electronic and Electrical Engineering, Trinity College Dublin, Ireland

  10. NPU Accelerator: Quantized Real-Time Vehicle Detection on PYNQ-Z1 Using FINN

    Sep 21, 2026Daniel Gutierrez, Antonio Cuesta, Jorge Fe +2FPGA-Based Neural Network AccelerationReal-Time Object Detection

    Intigia · DFKI

  11. Real-Time Plasma State Prediction via FPGA-Accelerated Quantized Recurrent Probabilistic Neural Networks

    Sep 19, 2026Daniel Gaytan-Villarreal, Aiken Xie, Tu Pham +5FPGA-Based Neural Network AccelerationRecurrent Neural Networks

    Department of Physics, Carnegie Mellon University, Pittsburgh, PA 15213, USA · Department of Applied Physics and Applied Mathematics, Columbia University, New York, NY 10027, USA · Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA +1

  12. MeshKV: A Network-on-Chip KV Cache Fabric for Scalable Transformer Decoding Accelerators

    Sep 16, 2026Dong Liu, Yanxuan YuTransformer InferenceKV Caching

    Columbia University New York, NY, USA

  13. FAME: An FPGA-Based Platform for Approximate Multipliers Evaluation with Pattern-Guided DNN Retraining

    Sep 15, 2026Rappy Saha, Nima Amirafshar, Jude Haris +2FPGA-Based Neural Network AccelerationApproximate Computing

    University of Glasgow, UK · Heidelberg University, Germany

  14. EBL: Efficient Broad Learning for Distributed Adaptive Harmonic Analysis

    Sep 14, 2026Changhong Li, Georgios Floros, Biswajit Basu +1FPGA-Based Neural Network Acceleration

    Reconfigurable Computing Systems Lab, Electronic & Electrical Engineering Trinity College Dublin, Ireland

  15. nBMS, a Neuromorphic Battery Management System with a Silicon-Validated Spiking State-of-Charge Core for eVTOL Aircraft

    Sep 11, 2026İsmail Can DikmenSpiking Neural NetworksEfficient Neural Network Inference

    Department of Electrical and Electronics Engineering Istinye University, Istanbul, Turkiye

  16. SymbolicLight V2: Hybrid Neuromorphic Architecture and Sparse Execution for Low-Energy Language Inference

    Sep 9, 2026Ting LiuNeuromorphic ComputingEfficient Language Model Inference

    SymbolicLight Research Foshan, Guangdong, China

  17. DiffLUT-Net: Differentiable Training of FPGA LUT Networks with Learnable Connectivity

    Sep 8, 2026Jiaqi Ye, Xinrui Gong, Jingcun Wang +3Efficient Neural Network InferenceFPGA-Based Neural Network Acceleration

    TU Darmstadt · TU Ilmenau

  18. TriCCOT: Tri-part Convolutional Conformal Transformer for Onboard Space Object Detection

    Sep 8, 2026Adrien Dorise, Marjorie Bellizzi, Julia Cohen +1Hybrid CNN-Transformer ArchitecturesObject Detection

    Centre National d’Etudes Spatiales, CNES Toulouse, France · IRT Saint-Exupéry Toulouse, France

  19. Proton Irradiation Characterization of an Open-Source ML Accelerator on a Zynq UltraScale+ MPSoC

    Sep 4, 2026Saad Memon, Rafal Graczyk, Jan Swakoń +3FPGA-Based Neural Network AccelerationNeural Network Robustness

    Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, L-1855 Luxembourg, Luxembourg · Henryk Niewodniczański Institute of Nuclear Physics, Polish Academy of Sciences (IFJ PAN), 31-342 Kraków, Poland

  20. Recent Developments in Transformer Inference Deployment on FPGA Platforms: A Survey

    Sep 1, 2026Arjan Blankestijn, Uraz Odyurt, Amirreza YousefzadehEfficient Transformer InferenceTransformer Inference

    Computer Architecture for Embedded Systems, University of Twente Enschede, The Netherlands · Faculty of Engineering Technology, University of Twente Enschede, The Netherlands

  21. Bern2Edge: A Neurosymbolic Compiler for Edge Deployment via Bernstein Polynomial Networks

    Aug 20, 2026Malak Gamal El-Din, Yifan Zhang, Yasser Shoukry +2Edge InferenceFPGA-Based Neural Network Acceleration

    Department of Electrical Engineering and Computer Science, University of California, Irvine, CA 92697 USA

  22. Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA

    Aug 11, 2026Cédric Léonard, Francescopaolo Sica, Martin SchulzLearned Image CompressionEdge Computing

    Technical University of Munich, Munich, Germany · Remote Sensing Technology Institute, German Aerospace Center (DLR), Weßling, Germany · Department of Aerospace Engineering, University of the Bundeswehr Munich, Neubiberg, Germany

  23. CascadeLUT: Information-Ordered Streaming Inference for Bandwidth-Constrained FPGAs

    Aug 1, 2026Oliver Cassidy, Marta Andronic, George A. ConstantinidesEfficient Neural Network InferenceStreaming Inference

    Department of Electrical and Electronic Engineering, Imperial College London, UK

  24. Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs

    Jul 24, 2026Ilia Sobakinskikh, Paul Alexander BilokonTransformer InferenceFinancial Time Series

  25. Sparse by Command: Task-Conditional Compute Skipping for Multi-Task Inference Accelerators

    Jul 24, 2026Afzal Ahmad, Gaoyu Mao, Shoubo Hu +4Structured SparsityFPGA-Based Neural Network Acceleration

    The Hong Kong University of Science and Technology · Huawei Noah’s Ark Lab · The Hong Kong University of Science and Technology (Guangzhou)

  26. Hardware-Software Co-Design for Float16 On-Device Training on RISC-V Single-Core

    Jul 23, 2026Benjamin Hubinet, Pierre-Alain Moellic, Olivier Savry +2On-Device TrainingHardware-Software Co-Design

    CEA-Leti, Mines Saint-Etienne, Equipe Commune SAS, F-13541 Gardanne, France · Univ. Grenoble Alpes, CEA-Leti, F-38000 Grenoble, France · Mines Saint-Etienne, CEA-Leti, Centre CMP, Equipe commune SAS, F-13541 Gardanne, France

  27. NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference

    Jul 16, 2026Jiajun Hu, Ruthwik Reddy Sunketa, Lei Zhao +3Efficient Transformer InferenceCompute-in-Memory

    Arizona State University, Tempe, AZ, USA · Hewlett Packard Enterprise Labs, Fort Collins, CO, USA

  28. FPGN: Redefining Ultra-Fast Programmable Gate-based Neural Acceleration with Differentiable LUTs

    Jul 9, 2026Jiawei Liang, Haotong Qin, Linfeng Du +7Efficient Neural Network InferenceFPGA-Based Neural Network Acceleration

    HKUST · ETH Zurich · HKUST (GZ)

  29. Hardware-aware Graph Neural Networks prunning for embedded event-based vision

    Jul 7, 2026Piotr Wzorek, Kamil Jeziorek, Tomasz KryjakEvent-Based VisionGraph Neural Networks

    Embedded Perception and Autonomous Systems Group, AGH University of Krakow, Poland

  30. ELiTeFormer: An Efficient Transformer for FPGAs

    Jul 4, 2026Victor Agostinelli, Nicolas Bohm Agostini, Antonino TumeoLLM QuantizationTernary Quantization

    Oregon State University Corvallis, Oregon, USA · Pacific Northwest National Laboratory Richland, Washington, USA