Accelerator

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Period ending 2026-09-21

8 new papers

A weekly snapshot of new work published in Accelerator.

Period ending 2026-09-14

7 new papers

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Period ending 2026-09-07

7 new papers

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233 papers

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

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

  2. VibeVoice-ASR-BitNet Technical Report

    Jul 23, 2026Songchen Xu, Ting Song, Shaohan Huang +10Real-Time InferenceQuantizer

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

    Jul 22, 2026Ivan Ge, Sagar Addepalli, Abhilasha Dave +1Quantum Machine LearningField-Programmable Gate Arrays

  4. 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

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

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

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

    Jul 20, 2026Varun Manjunath, Ruokai Yin, Donghyun Lee +2Sparse Deep Neural Network AcceleratorsGraph Neural Network Inference

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

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

  8. Hardware Mechanisms to Dynamically Throttle AI Performance

    Jul 20, 2026Haiyue Ma, Lauren Malek, Joseph Forzani +1Accelerator

  9. 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

  10. ThRIve: Thermally Robust CNN Inference via Low-Rank Adaptation in Heterogeneous PIM Architectures

    Jul 19, 2026Vibhanshu Sharma, Pratyush Dhingra, Janardhan Rao Doppa +1Graph Neural Network InferenceSparse Deep Neural Network Accelerators

  11. ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts

    Jul 19, 2026Pratyush Dhingra, Pramit Kumar Pal, Janardhan Rao Doppa +1Mixture-Of-Expert InferenceLLM Inference Efficiency

  12. JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models

    Jul 17, 2026Haoran Sun, Wentao Zhang, Junyang Hua +18Pretrained Vision-Language-ActionVision-Language-Action Models

  13. Rendering 3D Gaussians on a Graph Processor

    Jul 17, 2026Nicholas Fry, Ignacio Alzugaray, Mark Pupilli +23D GaussianConsumer Graphics Processing Units

  14. An MLIR-Based Compilation Method for Large Language Models

    Jul 17, 2026Pengchao Hu, Zhibin Xin, Yifan Chen +3AcceleratorIntermediate Representations

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

    Jul 16, 2026Jiajun Hu, Ruthwik Reddy Sunketa, Lei Zhao +3In-Memory ComputingField-Programmable Gate Arrays

  16. AI-accelerated End-to-End Framework for Rapid Professional Upskilling

    Jul 15, 2026Tam Nguyen, Hung Nguyen, Robert OgburnAi-Based FrameworkCompetency Questions

  17. Kaleido: Algorithm-Hardware Co-Design for Video Diffusion Transformers by Exploiting Latent Space Correlations

    Jul 15, 2026Wenxuan Miao, Haosong Liu, Weiming Hu +9Pre-Trained Video Diffusion ModelsAccelerator

  18. FastCentNN: Accelerating Centroid Neural Network with Entropy Proxy

    Jul 15, 2026Le-Anh TranImage ClusteringSparse Deep Neural Network Accelerators

  19. Transformer-Guided Swarm Intelligence for Frugal Neural Architecture Search

    Jul 13, 2026Romain AmigonNeural Architecture SearchSparse Deep Neural Network Accelerators

  20. HiFi-LLP: High-Fidelity, Low-Cost Latency Predictors with Confidence for Robust HW-NAS

    Jul 13, 2026Shambhavi Balamuthu Sampath, Behzad Shomali, Nael Fasfous +7Sparse Deep Neural Network AcceleratorsNeural Architecture Search

  21. GB-SVFBP: Gaussian-Based Shift-Variant FBP neural network

    Jul 13, 2026Chengze Ye, Linda-Sophie Schneider, Yipeng Sun +1Radial Basis FunctionTomography

  22. FastTPS: An Optimized Method for LLM Token Phase for AI accelerators

    Jul 13, 2026Wenzong Yang, Danyang Zhang, Kun Cao +17LLM Inference EfficiencyAccelerator

  23. Edge Physical AI Deployment of Vision Transformers on Heterogeneous Edge GPU Targeting Autonomous Vehicles

    Jul 12, 2026Ashiyana Abdul Majeed, Mahmoud Meribout, Neethu Joseph +2Heterogeneous Edge DevicesReal-Time Inference

  24. Program-Synthesis-Driven Autodesign of Universal Unitary Operators

    Jul 11, 2026Yifei Zhang, Dong Chen, Fan Wang +6Photonic DevicesField-Programmable Gate Arrays

  25. Adaptive Model Compression (AMC): Saliency-Driven Resource Allocation for Ultra-Low-Power Transformer Inference

    Jul 11, 2026Jiayin Hu, Kai Yuan, Vanessa Hu +3Resource-Constrained Edge DevicesGenerative Image Compression

  26. Attention to Detail: Evaluating Energy, Performance, and Accuracy Trade-offs Across vLLM Configurations

    Jul 10, 2026Nada Zine, Tristan Coignion, Vincenzo Stoico +3LLM Inference EfficiencyInference Engine

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

    Jul 9, 2026Jiawei Liang, Haotong Qin, Linfeng Du +7Field-Programmable Gate ArraysSparse Deep Neural Network Accelerators

  28. Detecting Ladder Logic Bombs in IEC 61131-3 PLC Programs using ESBMC-PLC+: A Formal Verification Approach with Trigger Synthesis

    Jul 9, 2026Pierre Dantas, Lucas Cordeiro, Waldir JuniorFormal VerificationLadder

  29. Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware

    Jul 8, 2026Hao Kong, Di Liu, Shuo Huai +5Learned Image CompressionConvolutional Neural Networks

  30. Optimizing ML Workload Partitioning between CPUs and CIM Accelerators for Heterogeneous Computing

    Jul 6, 2026Joel Klein, Rebecca Pelke, Roberto Laudani +2Inference WorkloadsIn-Memory Computing

  31. NKI-Agent: Domain-Specific Fine-Tuning and Agentic Tool Use for Neuron Kernel Generation

    Jul 5, 2026Junjie Tang, Jun Huan, Hao Zhou +2Graphics Processing Unit KernelsAccelerator

  32. AI-RAN on NPUs: Baseband Processing Without Baseband Chips

    Jul 5, 2026Shilong Zhang, Luping Xiang, Jienan Chen +1Neural Processing UnitsOpen Radio Access Networks

  33. BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision

    Jul 4, 2026Ang Li, Chang GaoSparse Deep Neural Network AcceleratorsLow-Latency Systems

  34. ELiTeFormer: An Efficient Transformer for FPGAs

    Jul 4, 2026Victor Agostinelli, Nicolas Bohm Agostini, Antonino TumeoField-Programmable Gate ArraysLLM Inference Efficiency

  35. Hardware-Enforced Semantic Coordination for Safety-Critical Real-Time Autonomous Systems

    Jul 2, 2026Uwe M. Borghoff, Paolo Bottoni, Remo PareschiSafety-Critical ScenariosGlobal Coordination

  36. WBMM: Windowed Batch Matrix Multiplication for Efficient Large Receptive Field Convolution

    Jul 2, 2026Wan Song, Wei Zhou, Rui Wang +4Matrix MultiplicationSparse Deep Neural Network Accelerators

  37. 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 +3Sparse Deep Neural Network AcceleratorsField-Programmable Gate Arrays

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

    Jun 30, 2026Hubert Dymarkowski, Xingjian Fu, Rappy Saha +2Self-Supervised Vision TransformersSparse Deep Neural Network Accelerators

  39. Intrinsically Stable Spiking Neural Networks: Overcoming the Performance Barrier in the Absence of Batch Normalization

    Jun 30, 2026Ruichen Ma, Xiaoyang Zhang, Jian Bai +5Spiking Neural NetworksNeuromorphic Hardware

  40. Harvesting AI Computation at the Edge via Generic Approximation

    Jun 28, 2026Yihan Wang, Huiru Yan, Luxin Zhang +6Heterogeneous Edge DevicesCentral Processing Units

  41. SEADA: An efficient methodology for optimizing mixed-precision DNNs on multi-precision spatial architectures

    Jun 26, 2026Leandro Fiorin, Marco Ronzani, Cristina SilvanoMixed-Precision QuantizationSparse Deep Neural Network Accelerators

  42. An Embedded Real-Time License Plate Recognition System for Complex Traffic Scenes

    Jun 26, 2026Anuki Pasqual, Dulan Lokugeegana, Manimohan Thiriloganathan +3License Plate Character DetectionTraffic

  43. Axon: A Synthesizing Superoptimizer for Tensor Programs

    Jun 24, 2026Akash Kothari, Shaowei Zhu, Daniel Kroening +1Tensor ProgramsAccelerator

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

    Jun 24, 2026Muhammad Usman, Yousef Sadegheih, Dorit MerhofSparse Deep Neural Network AcceleratorsField-Programmable Gate Arrays

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

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

  46. Decentralised AI Training and Inference with BlockTrain

    Jun 23, 2026Peter Toth, Dan OprisaAcceleratorLarge Models

  47. BatchGen: An Architecture for Scalable and Efficient Batch Inference

    Jun 19, 2026Tairan Xu, Leyang Xue, Zhan Lu +7Accelerator

  48. OVIG: Optimistic Verification of AI Training Integrity via Gradient Signals

    Jun 19, 2026Hongxu Su, Jianzhu Yao, Huan Zhang +2Trustworthy Artificial IntelligenceTrainability

  49. A3C3: AI Algorithm and Accelerator Co-design, Co-search, and Co-generation

    Jun 18, 2026Selin Yildirim, Yingbing Huang, Deming ChenAcceleratorCo-Design

  50. Rethinking Shrinkage Bias in LLM FP4 Pretraining: Geometric Origin, Systemic Impact, and UFP4 Recipe

    Jun 18, 2026Qian Zhao, Kunlong Chen, Changxin Tian +9Fp8Large Language Model Pretraining

  51. FPGA-Accelerated Neuromorphic Vision System for Real-Time Orbital Object Detection

    Jun 17, 2026Diego Hernández, Sebastián Valdivia, Vicente Westerhout +2SatelliteField-Programmable Gate Arrays

  52. MIVE: A Minimalist Integer Vector Engine for Softmax LayerNorm and RMSNorm Acceleration

    Jun 16, 2026Kosmas Alexandridis, Giorgos DimitrakopoulosAcceleratorBatch Normalization

  53. AoiZora: Topology-Aware Auto-Parallel Optimization for Inference of Diffusion Transformers

    Jun 16, 2026Kaijian Wang, Yuanyuan Xu, Fanjiang Ye +5AcceleratorShard

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

    Jun 16, 2026Gram Koski, Sean Lipps, Zhenghua Ma +2Transformer ArchitecturesAccelerator

  55. AUTOGATE: Automated Clock Gating via Toggling-Aware LLM-based RTL Rewriting

    Jun 16, 2026Yiting Wang, Chenhui Deng, Chia-Tung Ho +6Flexible Register Transfer Level Design AutomationField-Programmable Gate Arrays

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

    Jun 15, 2026Evgeny UkladchikovTransformer ArchitecturesField-Programmable Gate Arrays

  57. SMEPilot: Characterizing and Optimizing LLM Inference with Scalable Matrix Extensions

    Jun 15, 2026Feiyang Chen, Haibo ChenLLM Inference EfficiencyMatrix Multiplication

  58. An affordable hardware-aware neural architecture search for deploying convolutional neural networks on ultra-low-power computing platforms

    Jun 15, 2026Andrea Mattia Garavagno, Edoardo Ragusa, Antonio Frisoli +1Neural Architecture SearchCortex

  59. Prefill/Decode-Aware Evaluation of LLM Inference on Emerging AI Accelerators

    Jun 14, 2026Shun Usami, Venkatram Vishwanath, E. Wes BethelLLM Inference EfficiencyAccelerator

  60. MADAR: An Address-Free Processor

    Jun 14, 2026Mohamed Amine BergachCentral Processing UnitsCache