Accelerator

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Period ending 2026-09-14

7 new papers

A weekly snapshot of new work published in Accelerator.

Period ending 2026-09-07

7 new papers

A weekly snapshot of new work published in Accelerator.

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230 papers

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  1. A 25-μs/inf Event-driven Graph Neural Network Processor with Spatiotemporal Caching and Spline Convolution for Ultra-low-latency AI at the Edge

    Sep 14, 2026Adrian Kneip, Martin Lefebvre, Daniel Gehrig +4Lightweight Convolutional Neural Network Hardware AcceleratorLow-Latency Systems

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

    Sep 10, 2026Jiaqi Ye, Xinrui Gong, Jingcun Wang +3Field-Programmable Gate ArraysGraph Neural Network Inference

  3. Deep Learning-Based Detection of Electrical Faults and Power Quality Disturbances in Aerospace Power Systems

    Sep 9, 2026Ian C. Guzmán, Radu Babiceanu, Berker PeközFault DiagnosisHigh-Frequency Reconstruction

  4. Elastoformer: Enabling Dynamic Adaptivity via Elastic Model Transformation

    Sep 9, 2026Sudaksh Kalra, Dolly SapraLightweight Convolutional Neural Network Hardware AcceleratorSelf-Supervised Vision Transformers

  5. Fidelity-Aware Scheduling of Quantum Circuits on Multi-QPU Systems

    Sep 9, 2026Innocenzo Fulginiti, Antonio Tudisco, Salvatore Zammuto +7Quantum CircuitsHigh-Performance Computing

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

    Sep 9, 2026Ting LiuField-Programmable Gate ArraysNeuromorphic Hardware

  7. AccelMPC: High-Rate, Low-Power FPGA-Accelerated Model Predictive Control for Tiny Drones

    Sep 8, 2026Andrea Grillo, Brian PlancherDroneModel Predictive Control

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

    Sep 8, 2026Adrien Dorise, Marjorie Bellizzi, Julia Cohen +1General Object DetectionObject Detection

  9. Para-Pipe: Exploiting Hierarchical Operator Parallelism of ML Computational Graphs on SoCs

    Sep 3, 2026Yujie Zhang, Huiying Lan, Ehsan Aghapour +5Lightweight Convolutional Neural Network Hardware AcceleratorParallel Decoding and Training

  10. A Two-Stage Forecasting System for CPU Workload Prediction in Private Clouds

    Sep 3, 2026Ashir Javeed, Anton Borg, Håkan Grahn +3Retrieval-Augmented ForecastingCentral Processing Units

  11. InKAN: B-Spline KANs via Truncated Power Form

    Sep 2, 2026Naveen MysoreKolmogorov-Arnold NetworksB-Spline

  12. CircuitsDNA: Discovering Unconventional Multi-Accuracy Arithmetic Circuits via Evolutionary Synthesis

    Sep 1, 2026Ruichen Qi, Junyi Luo, Xinting Jiang +5Lightweight Convolutional Neural Network Hardware AcceleratorAnd Mixed-Signal Circuits

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

    Sep 1, 2026Arjan Blankestijn, Uraz Odyurt, Amirreza YousefzadehField-Programmable Gate ArraysAccelerator

  14. Intelligent Edge Computing

    Aug 31, 2026Kalgi Gandhi, Minal BhiseIntelligent EdgeCentral Processing Units

  15. Conjoint Audio-to-Spikes Encoding and Processing for Efficient Neuromorphic Speech Recognition

    Aug 31, 2026Valentin M. Meunier, Amélie Gruel, Pierre Lewden +2Neuromorphic HardwareNeural Audio Codecs

  16. Trust, but Verify: Rigorously Profiling Best-Effort High-Performance Computing for Digital Evolution

    Aug 25, 2026Matthew Andres Moreno, Santiago Rodriguez Papa, Charles Ofria +2High-Performance ComputingCentral Processing Units

  17. NAS-Driven Hardware Accelerator Exploration for Edge AI and Quantization Effects on the Pareto Space

    Aug 13, 2026Eleftherios Mylonas, Angelos Kouprizas, Michael Birbas +1Neural Architecture SearchAccelerator

  18. FQTree: Fine-grained Quantization and Hardware Generation of Boosted Decision Trees

    Aug 12, 2026Zhiqiang Que, Chang Sun, Haiyang Wang +6Low-Bit QuantizationField-Programmable Gate Arrays

  19. Achieving Near-Zero-Overhead Multi-Model Hierarchical Classification in Real-Time Detection Pipelines

    Aug 12, 2026Vaishnav RajuNvidia Jetson Orin NanoAccelerator

  20. SCOUT: Symmetric Consensus Outlier Detection for Failure Localization in LLM Pre-Training

    Aug 11, 2026Zhuang WangIntermediate CheckpointsOutliers

  21. Fast and Memory-Efficient Wavelet Convolutions via I/O-Aware Reformulation

    Aug 11, 2026Amit Aflalo, Shahaf E. Finder, Roy Amoyal +2ConvolutionalDiscrete Wavelet Transform

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

    Aug 11, 2026Cédric Léonard, Francescopaolo Sica, Martin SchulzImage CompressionSynthetic Aperture Radar

  23. Monophonic Audio Synthesizer Using FPGAs

    Aug 10, 2026Michael Smith, D. G. PereraSynthesizerField-Programmable Gate Arrays

  24. ArchAgent v2: A Case Study with the Data Prefetching Championship

    Aug 10, 2026Abraham Gonzalez, Raghav Gupta, Akanksha Jain +12Self-Evolving AgentsAccelerator

  25. Dual-Node NVIDIA DGX Spark over Tailscale: A Remote-Access Testbed for Distributed LLM Training and Cyber-Threat-Intelligence Fine-Tuning

    Aug 7, 2026Vasanth IyerRtxAccelerator

  26. Autonomous discovery of accelerator commissioning algorithms

    Aug 7, 2026Thorsten HellertAlgorithmic ReasoningAgentic Loop

  27. Synthetic LiDAR Data Generation and Deterministic Downsampling for Point Cloud Classification on the Edge

    Aug 7, 2026Niclas Meyer, Stefan ReitmannLight Detection And Ranging Point CloudsPoint Clouds

  28. MiCoPro: End-to-End Mixed Precision HW/SW Co-design with HW-aware Proxy Model

    Aug 7, 2026Zijun Jiang, Yangdi LyuMixed-Precision QuantizationLightweight Convolutional Neural Network Hardware Accelerator

  29. HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation

    Aug 7, 2026Yuebo Luo, Ahmad Sedigh Baroughi, Philip Stachura +4Electronic Design AutomationAccelerator

  30. BaKron: Efficient Quantization with Kronecker-Factored Hessians

    Aug 6, 2026Johann Birnick, Rayan SaabMixed-Precision QuantizationLow-Bit Quantization

  31. Operating Multi-Node Full Fine-Tuning on NVIDIA B300: A Field Report on Telemetry-Based Triage, Negative Results, and Operational Hardening

    Aug 6, 2026Seon Ho Kim, Ui Jeong Jeon, Su Hyeon Kim +1RtxAccelerator

  32. Don't Regenerate, Debug: A Domain-Specific Agent for Repairing Near-Miss Hardware Operators

    Aug 3, 2026Yansong Sun, Shenxiu Wu, Siyuan Chen +6Precise DebuggingGraphics Processing Unit Kernels

  33. BiKAN: Restoring Collapsed Basis of Binary Kolmogorov--Arnold Networks

    Aug 2, 2026Kazi Ahmed Asif Fuad, Lizhong ChenKolmogorov-Arnold NetworksLightweight Convolutional Neural Network Hardware Accelerator

  34. DeVIT: Low-Power Vision Transformer Acceleration Using Delta Computation

    Aug 2, 2026Reyhaneh Hosseinzadeh, Parham Zilouchian Moghaddam, Mehdi ModarressiSelf-Supervised Vision TransformersLightweight Convolutional Neural Network Hardware Accelerator

  35. FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing?

    Aug 2, 2026Weimin Fu, Hejia Zhang, Minghao Shao +6Hardware Description LanguagesField-Programmable Gate Arrays

  36. SparseKAN: Compressing Kolmogorov--Arnold Networks Across Basis Functions, Neurons, and Bits

    Aug 1, 2026Kazi Ahmed Asif Fuad, Lizhong ChenKolmogorov-Arnold NetworksConvolutional Neural Network Compression

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

    Aug 1, 2026Oliver Cassidy, Marta Andronic, George A. ConstantinidesField-Programmable Gate ArraysFaster Inference

  38. Tensor Probabilistic Model Checking of Finite-Horizon Markov Chains (Extended Version)

    Aug 1, 2026Jianlin Li, Nick Guo, Peter Ye +1Probabilistic Model CheckingMarkov

  39. MOSAIC: Masked Outsourcing of Secure AI Computations

    Jul 31, 2026James Hsin-yu Chiang, Sheila Zingg, Kari Kostiainen +1Secure AggregationMosaic

  40. Adaptivity via a Parallel Architecture for Stochastic Gradient Methods

    Jul 31, 2026Bin FuStochastic Gradient DescentGradient Descent

  41. FasTac: A Curved Multispectral Vision-Based Tactile Sensor for High-Speed High-Precision 3D Shape and Force Perception

    Jul 30, 2026Xiaofan Lu, Kaiji Huang, Jiahui Chen +3Tactile SensingHyperspectral Imaging

  42. LightRot: A Light-Weighted Rotation Scheme and Architecture for Accurate Low-Bit Large Language Model Inference

    Jul 30, 2026Sangjin Kim, Yuseon Choi, Jungjun Oh +2LLM Inference EfficiencyAccelerator

  43. Investigating reservoir computing for branch prediction in pipelined processors using emerging CMOS memristor devices

    Jul 29, 2026Harvey Samuel George Johnson, Sendy PhangTernary Memristive LogicReservoir Computing

  44. faster-enhancer.c: A Dependency-Free int8 Runtime for Streaming Speech Enhancement on Commodity CPUs

    Jul 28, 2026Gyeongmin KimSpeech EnhancementCentral Processing Units

  45. Bit-Accurate FPGA Evaluation of Learned Feature Gating in a Fixed-Point Fourier-Feature Automatic Modulation Classifier

    Jul 27, 2026Gawthaman Senthilvelan, Luthira AbeykoonAutomatic Modulation ClassificationField-Programmable Gate Arrays

  46. A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference

    Jul 27, 2026Zhuoran Song, Haozhe Jiang, Chunyu Qi +4Faster InferenceCalibration-Free Low-Bit Vector Quantization

  47. Formally Verified Synthesizable Floating-Point Data Types in ARCH HDL

    Jul 26, 2026Shuqing ZhaoFloating-PointSystematic Fp16 Divergence

  48. HiKV: Hierarchical Importance-Aware KV Cache with Hardware Acceleration for LLM Decoding

    Jul 24, 2026Chao Fang, Jun Yin, Man Shi +1Key-Value CacheLarge Language Model Decoding

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

    Jul 24, 2026Ilia Sobakinskikh, Paul Alexander BilokonTransformer VariantTime Series

  50. Flash EQ-Linear: Accelerating Equivariant Linear Layers via Group-wise Discrete Fourier Transform

    Jul 23, 2026Zhongchen Zhao, Jixin Wang, Qi Xie +4Exact EquivarianceEquivariance

  51. Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy

    Jul 23, 2026Elisa Chiarotto, Jingbo Li, P. Chris Broekema +1Code OptimizationAI Code Generation

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

    Jul 23, 2026Benjamin Hubinet, Pierre-Alain Moellic, Olivier Savry +2Systematic Fp16 DivergenceField-Programmable Gate Arrays

  53. VibeVoice-ASR-BitNet Technical Report

    Jul 23, 2026Songchen Xu, Ting Song, Shaohan Huang +10Faster InferenceAudio Tokens

  54. Classical Hardware Acceleration of Quantum Autoencoders for Real-Time Anomaly Detection in Collider Experiments

    Jul 22, 2026Ivan Ge, Sagar Addepalli, Abhilasha Dave +1Field-Programmable Gate ArraysAccelerator

  55. From Bit-Position Sensitivity to Unequal Error Protection for DNN Inference Memory

    Jul 21, 2026Muhammad Husnain Mubarik, Karthik Mohan Kumar, Pedro Antonio Pena +2Graph Neural Network InferenceSystematic Fp16 Divergence

  56. BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators

    Jul 21, 2026Fabian Waschkowski, Prabod Rathnayaka, Lukas WesemannLLM Inference EfficiencyAccelerator

  57. BRIM: Workload-Balanced Dual-Sided Bit-Serial Sparse Inference Accelerator

    Jul 20, 2026Varun Manjunath, Ruokai Yin, Donghyun Lee +2Lightweight Convolutional Neural Network Hardware AcceleratorGraph Neural Network Inference

  58. Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator

    Jul 20, 2026Mateusz Piechocki, Alessandro Capotondi, Marek KraftAcceleratorParameter-Efficient Adaptation

  59. Hardware Mechanisms to Dynamically Throttle AI Performance

    Jul 20, 2026Haiyue Ma, Lauren Malek, Joseph Forzani +1AcceleratorArtificial Intelligence Benchmarks

  60. Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators

    Jul 20, 2026Xuming Chen, Deniz Najafi, Mehrdad Morsali +5Self-Supervised Vision TransformersVision Transformer