FPGA-Based Neural Network Acceleration

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6 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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  1. 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

  2. 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

  3. 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

  4. 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

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

    Sep 10, 2026Jiaqi Ye, Xinrui Gong, Jingcun Wang +3Efficient Neural Network InferenceFPGA-Based Neural Network Acceleration

    TU Darmstadt · TU Ilmenau

  6. 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

  7. 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

  8. 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

  9. 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

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

    Aug 1, 2026Oliver Cassidy, Marta Andronic, George A. ConstantinidesEfficient Neural Network InferenceFPGA-Based Neural Network Acceleration

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

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

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

  12. 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)

  13. 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

  14. 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

  15. 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)

  16. 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

  17. 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

  18. ProWAFT: A ROMA-LPD Instance for Workload-Aware and Dynamic Fault Tolerance in FPGA-Based CNN Accelerators

    Jul 2, 2026Xinxin Chen, Haoran Qiao, Yiming Guo +3FPGA-Based Neural Network Acceleration

    Department of Computer Science University of Chinese Academy of Sciences

  19. FlexViT: A Flexible FPGA-based Accelerator for Edge Vision Transformers

    Jun 30, 2026Hubert Dymarkowski, Xingjian Fu, Rappy Saha +2Hybrid CNN-Transformer ArchitecturesEdge Inference

    School of Computing Science, University of Glasgow, Scotland, UK

  20. Energy-Efficient CNN Acceleration with MSDF Digit-Serial Arithmetic on FPGA

    Jun 24, 2026Muhammad Usman, Yousef Sadegheih, Dorit MerhofEnergy-Efficient MLFPGA-Based Neural Network Acceleration

    Faculty of Informatics and Data Science, University of Regensburg, 93053 Regensburg, Germany

  21. PatchINR: Patch-Based Implicit Neural Representations for Efficient and Scalable Inference

    Jun 24, 2026Jiachen Ren, Wenyong Zhou, Taiqiang Wu +4Efficient Neural Network InferenceImplicit Neural Representations

    The Department of Electrical and Computer Engineering, The University of Hong Kong, Hong Kong.

  22. Reconfigurable Computing Challenge: Transformer for Jet Tagging on Versal AI Engines

    Jun 16, 2026Gram Koski, Sean Lipps, Zhenghua Ma +2Efficient Transformer InferenceEfficient Neural Network Inference

    Department of Computer Science and Engineering University of California San Diego La Jolla, CA, USA

  23. NeuronFabric: A Software Reference Architecture for On-Chip Transformer Training with Local Adam

    Jun 15, 2026Evgeny UkladchikovDeep Learning OptimizationTransformer

    Independent Researcher

  24. ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification

    Jun 13, 2026Anh Tran, Khanh Tran, Cuong DoEfficient Neural Network InferenceElectrocardiogram Classification

    School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA · VinUni–Illinois Smart Health Center, VinUniversity, Hanoi 100000, Vietnam · College of Engineering and Computer Science, VinUniversity, Hanoi 100000, Vietnam

  25. VQ4SNN: Vector Quantization for Memory-Efficient FPGA Spiking Neural Networks

    Jun 12, 2026Dimitrios Sekertzis, Giorgos DimitrakopoulosMemory-Efficient InferenceVector Quantization

    Integrated Circuits Lab, Electrical and Computer Engineering, Democritus University of Thrace (DUTH), Greece

  26. ReSCom: A Reconfigurable Spiking Neural Network Accelerator Using Stochastic Computing

    Jun 11, 2026Ali Alipour Fereidani, Mohammad Rasoul Roshanshah, Saeed SafariEfficient Neural Network InferenceEnergy-Efficient ML

    High-Performance Embedded Architecture Laboratory (HiPEAL) School of Electrical and Computer Engineering College of Engineering, University of Tehran Tehran, Iran · High-Performance Embedded Architecture Laboratory (HiPEAL) School of Electrical and Computer Engineering[cs.AR] College of Engineering, University of Tehran Tehran, Iran

  27. SupraSNN: Exploiting Synapse-Level Parallelism in Spiking Neural Network Accelerators through Co-Optimized Mapping and Scheduling

    Jun 11, 2026Seyed Sadra Ghavami, Mohammad Hossein Nikkhah, Mohammad Rasoul Roshanshah +1Spiking Neural NetworksHardware-Software Co-Design

    High-Performance Embedded Architecture Laboratory (HiPEAL) School of Electrical and Computer Engineering College of Engineering, University of Tehran Tehran, Iran

  28. Spiking Neural Network inference on FPGAs with hls4ml

    Jun 8, 2026Barry M. DillonEfficient Neural Network InferenceSpiking Neural Networks

    ISRC, Ulster University, Derry, BT48 7JL, Northern Ireland

  29. SPARX: Secure and Privacy-Aware Approximate CNN Acceleration with Edge RISC-V SoC

    Jun 8, 2026Sonu Kumar, Akash Sankhe, Mukul Lokhande +1Edge InferencePrivacy-Preserving ML

    Centre for Advanced Electronics · Dept. of Electrical Engineering

  30. ITP-STDP: A Hardware-Efficient Intrinsic-Timing Power-of-Two Synaptic Learning Engine for On-Chip SNNs

    Jun 4, 2026Haihang Xia, Xinyu Zhao, Xuecheng Wang +5Spiking Neural NetworksSpike-Timing-Dependent Plasticity

    School of Electrical and Electronic Engineering, The University of Sheffield, S1 3JD Sheffield, U.K. · Donghai Laboratory, Zhoushan 316021, China · Engineering Research Center of Oceanic Sensing Technologyand Equipment, Ministry of Education, Zhoushan 316021, China +1

  31. Feasibility of Time-Domain DNN-Based Speech Enhancement on Embedded FPGA for Hearing Aid

    Jun 2, 2026Feyisayo Olalere, Umut Altin, Kiki van der Heijden +1Efficient Neural Network InferenceSpeech Processing

    Radboud University, Donders Institute for Brain, Cognition, and Behaviour, The Netherlands · Mortimer B. Zuckerman Mind, Brain, Behavior Institute, Columbia University, USA.

  32. Spiker-LL: An Energy-Efficient FPGA Accelerator Enabling Adaptive Local Learning in Spiking Neural Networks

    May 18, 2026Alessio Caviglia, Filippo Marostica, Alessandro Savino +1On-Device TrainingEnergy-Efficient ML

    Control and Computer Engineering Department, Politecnico di Torino, Turin, Italy

  33. Surrogate Neural Architecture Codesign Package (SNAC-Pack)

    May 15, 2026Jason Weitz, Dmitri Demler, Benjamin Hawks +3Hardware-Aware NASFPGA-Based Neural Network Acceleration

    University of California San Diego · 2ETH Zurich · 3Fermi National Accelerator Laboratory +1

  34. Heterogeneous SoC Integrating an Open-Source Recurrent SNN Accelerator for Neuromorphic Edge Computing on FPGA

    May 12, 2026Michelangelo Barocci, Vittorio Fra, Enrico Macii +1Edge ComputingHeterogeneous Computing

    Department of Computer and Control Engineering, Politecnico di Torino, Turin, Italy · Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino, Turin, Italy

  35. Energy-Efficient Implementation of Spiking Recurrent Cells on FPGA

    May 11, 2026Pascal Harmeling, Florent De Geeter, Guillaume DrionEfficient Neural Network InferenceSpiking Neural Networks

  36. Reconfigurable Computing Challenge: Real-Time Graph Neural Networks for Online Event Selection in Big Science

    May 11, 2026Marc Neu, Frank Baptist, Thomas Lobmaier +3High-Energy PhysicsFPGA-Based Neural Network Acceleration

    Institute for Information Processing Technology, Karlsruhe Institute of Technology, Germany · Institute of Experimental Particle Physics, Karlsruhe Institute of Technology, Germany

  37. End-to-End Keyword Spotting on FPGA Using Graph Neural Networks with a Neuromorphic Auditory Sensor

    May 10, 2026Wiktor Matykiewicz, Piotr Wzorek, Kamil Jeziorek +4Keyword SpottingSpeech Processing

    AGH University of Krakow, Poland · Embedded Vision Systems Group, Computer Vision Laboratory · Robotics and Technology of Computers Lab., ETSII, EPS, SCORE, I3US, Universidad de Sevilla

  38. CARMEN: CORDIC-Accelerated Resource-Efficient Multi-Precision Inference Engine for Deep Learning

    May 7, 2026Sonu Kumar, Mukul Lokhande, Santosh Kumar Vishvakarma +1Efficient Neural Network InferenceEnergy-Efficient ML

    Dept. of Electrical Engineering Indian Institute of Technology Indore Simrol 453552, Indore, India · EnICS Labs Bar-Ilan University Ramat Gan, Israel

  39. EULER-ADAS: Energy-Efficient & SIMD-Unified Logarithmic-Posit Engine for Precision-Reconfigurable Approximate ADAS Acceleration

    May 7, 2026Mukul Lokhande, Ratko Pilipovic, Omkar Kokane +2Energy-Efficient MLFPGA-Based Neural Network Acceleration

    NSDCS Research Group, Dept. of Electrical Engineering, Indian Institute of Technology Indore, Indore, India · Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia · EnICS Labs, Bar-Ilan Univ., Ramat Gan 5290002, Israel

  40. PoTAcc: A Pipeline for End-to-End Acceleration of Power-of-Two Quantized DNNs

    May 7, 2026Rappy Saha, Jude Haris, Nicolas Bohm Agostini +2Efficient Neural Network InferenceFPGA-Based Neural Network Acceleration

  41. LLM-Driven Design Space Exploration of FPGA-based Accelerators

    May 7, 2026Vinamra Sharma, Xingjian Fu, Jude Haris +1Large Language Model-Guided OptimizationElectronic Design Automation

    School of Computing Science, University of Glasgow, Scotland, UK

  42. Resource Utilization of Differentiable Logic Gate Networks Deployed on FPGAs

    May 4, 2026Stephen Wormald, Gilon Kravatsky, Damon Woodard +1Efficient Neural Network InferenceEdge ML

    Florida Institute of National Security University of Florida Gainesville, Florida, USA

  43. ViM-Q: Scalable Algorithm-Hardware Co-Design for Vision Mamba Model Inference on FPGA

    May 3, 2026Shengzhe Lyu, Yuhan She, Patrick S. Y. Hung +2Efficient Neural Network InferenceEdge Inference

    City University of Hong Kong, Hong Kong

  44. SwiftChannel: Algorithm-Hardware Co-Design for Deep Learning-Based 5G Channel Estimation

    May 3, 2026Shengzhe Lyu, Yuhan She, Di Duan +5Wireless CommunicationsHardware-Software Co-Design

    Department of Computer Science, City University of Hong Kong, Hong Kong · Department of Electrical Engineering, City University of Hong Kong, Hong Kong · Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong +2

  45. Tempus: A Temporally Scalable Resource-Invariant GEMM Streaming Framework for Versal AI Edge

    May 1, 2026M. Grailoo, J. Núñez-YáñezLLM Inference AccelerationFPGA Acceleration

    ∗Linköping University, Sweden · †Universidad Politecnica de Madrid, Spain

  46. NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures

    Apr 30, 2026Muhammad Ihsan Al Hafiz, Artur PodobasSpiking Neural NetworksNeuromorphic Computing

    KTH Royal Institute of Technology, Stockholm, Sweden

  47. At the Edge of the Heart: ULP FPGA-Based CNN for On-Device Cardiac Feature Extraction in Smart Health Sensors for Astronauts

    Apr 28, 2026Kazi Mohammad Abidur Rahman, Davis Rakhshan, Philipp Lütke +2Time Series ClassificationWearable Health Monitoring

    Smart Sensors Group, Hamburg University of Technology, Hamburg, Germany · Distributed Systems, Kiel University, Kiel, Germany · Networked Cyber-Physical Systems, Hamburg University of Technology, Hamburg, Germany

  48. 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

  49. 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

  50. 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

  51. 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

  52. 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

  53. 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

  54. 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

  55. 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 · 3Massachusetts Institute of Technology, USA +1