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