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. TRAM: Training Approximate Multiplier Structures for Low-Power AI Accelerators

    May 6, 2026Chang Meng, Hanyu Wang, Yuyang Ye +3AcceleratorMixed-Precision Quantization

  2. Design Conductor 2.0: An agent builds a TurboQuant inference accelerator in 80 hours

    May 6, 2026The Verkor Team, Ravi Krishna, Suresh Krishna +1AcceleratorAgent Harness

  3. Storage Is Not Memory: A Retrieval-Centered Architecture for Agent Recall

    May 6, 2026Joshua Adler, Guy ZehaviAgent MemoryAgentic Retrieval

  4. ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device

    May 5, 2026Mergen Nachin, Digant Desai, Sicheng Stephen Jia +36PytorchHeterogeneous Edge Devices

  5. Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators

    May 5, 2026Amitash Nanda, Javier Hernandez Nicolau, Madhusudan Gujral +3AcceleratorHigh-Performance Computing

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

    May 4, 2026Stephen Wormald, Gilon Kravatsky, Damon Woodard +1Differentiable Logic Gate NetworksField-Programmable Gate Arrays

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

    May 3, 2026Shengzhe Lyu, Yuhan She, Patrick S. Y. Hung +2Field-Programmable Gate ArraysSingle Graphics Processing Unit

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

    May 3, 2026Shengzhe Lyu, Yuhan She, Di Duan +5Joint Channel EstimationField-Programmable Gate Arrays

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

    Apr 30, 2026Muhammad Ihsan Al Hafiz, Artur PodobasSpiking Neural NetworksField-Programmable Gate Arrays

  10. 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 +2Field-Programmable Gate ArraysWearable Devices

  11. AHASD: Asynchronous Heterogeneous Architecture for LLM Adaptive Drafting Speculative Decoding on Mobile Devices

    Apr 28, 2026Ma Zirui, Fan Zhihua, Li Wenxing +4Speculative DecodingLLM Inference Efficiency

  12. Agentic Architect: An Agentic AI Framework for Architecture Design Exploration and Optimization

    Apr 28, 2026Alexander Blasberg, Vasilis Kypriotis, Dimitrios SkarlatosNeural Architecture SearchAccelerator

  13. Staged Factorial Screening for Budget-Constrained Micro-Pretraining

    Apr 27, 2026Felipe Chavarro PolaniaToken BudgetsExploratory Factor Analysis

  14. Salca: A Sparsity-Aware Hardware Accelerator for Efficient Long-Context Attention Decoding

    Apr 27, 2026Wang Fan, Wei Cao, Xi Zha +5Efficient Long-Context InferenceDynamic Sparse Attention

  15. Deployment-Aligned Low-Precision Neural Architecture Search for Spaceborne Edge AI

    Apr 27, 2026Parampuneet Kaur Thind, Vaibhav Katturu, Giacomo Zema +1Neural Architecture SearchSparse Deep Neural Network Accelerators

  16. Characterizing Vision-Language-Action Models across XPUs: Constraints and Acceleration for On-Robot Deployment

    Apr 27, 2026Kaijun Zhou, Qiwei Chen, Da Peng +3Vision-Language-Action ModelsReal-Time Inference

  17. Hardware-Efficient FPGA Implementation of Sigmoid Function Using Mixed-Radix Hyperbolic Rotation CORDIC

    Apr 26, 2026Chintan Panchal, Ankur Changela, Mohendra RoyField-Programmable Gate ArraysActivation Functions

  18. 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 NetworksField-Programmable Gate Arrays

  19. Tessera: Secure, Near-Line-Rate Weight Streaming for UMA Edge Accelerators

    Apr 25, 2026Animan NaskarSparse Deep Neural Network AcceleratorsHomomorphic Encryption

  20. Cloud to Edge: Benchmarking LLM Inference On Hardware-Accelerated Single-Board Computers

    Apr 24, 2026Harri Renney, Fouad Trad, Michael Mattarock +1LLM Inference EfficiencyAccelerator

  21. HGQ-LUT: Fast LUT-Aware Training and Efficient Architectures for DNN Inference

    Apr 24, 2026Chang Sun, Zhiqiang Que, Bakhtiar Zadeh +4Graph Neural Network InferenceField-Programmable Gate Arrays

  22. LTBs-KAN: Linear-Time B-splines Kolmogorov-Arnold Networks

    Apr 23, 2026Eduardo Said Merin-Martinez, Andres Mendez-Vazquez, Eduardo Rodriguez-TelloKolmogorov-Arnold NetworksNeural Architectures

  23. Transferable SCF-Acceleration through Solver-Aligned Initialization Learning

    Apr 23, 2026Eike S. Eberhard, Viktor Kotsev, Timm Güthle +1Density Functional TheoryAccelerator

  24. Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models

    Apr 23, 2026Muhammad Shafique, Abdul Basit, Muhammad Abdullah Hanif +3Multimodal Foundation ModelAccelerator

  25. GraphLeap: Decoupling Graph Construction and Convolution for Vision GNN Acceleration on FPGA

    Apr 23, 2026Anvitha Ramachandran, Dhruv Parikh, Viktor PrasannaGraph Neural NetworksSparse Deep Neural Network Accelerators

  26. ImageHD: Energy-Efficient On-Device Continual Learning of Visual Representations via Hyperdimensional Computing

    Apr 23, 2026Jebacyril Arockiaraj, Dhruv Parikh, Viktor PrasannaEfficient Continual LearningReal-Time Inference

  27. Onyx: Cost-Efficient Disk-Oblivious ANN Search

    Apr 22, 2026Deevashwer Rathee, Jean-Luc Watson, Zirui Neil Zhao +2Approximate Nearest-Neighbor SearchSearch Algorithms

  28. FairyFuse: Multiplication-Free LLM Inference on CPUs via Fused Ternary Kernels

    Apr 22, 2026Fei Zuo, Xiaoyan Xi, Quanyi Zeng +2Systematic Fp16 DivergenceLLM Inference Efficiency

  29. Unlocking the Edge deployment and ondevice acceleration of multi-LoRA enabled one-for-all foundational LLM

    Apr 20, 2026Sravanth Kodavanti, Sowmya Vajrala, Srinivas Miriyala +13Real-Time InferenceAccelerator

  30. Enabling AI ASICs for Zero Knowledge Proof

    Apr 20, 2026Jianming Tong, Jingtian Dang, Simon Langowski +6Zero-Knowledge ProofsAccelerator

  31. FlashFPS: Efficient Farthest Point Sampling for Large-Scale Point Clouds via Pruning and Caching

    Apr 20, 2026Yuzhe Fu, Hancheng Ye, Cong Guo +7Farthest Point SamplingSparse Deep Neural Network Accelerators

  32. A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications

    Apr 18, 2026Ruomin Zhu, Abhishek Kumar Singh, Jérémie Laydevant +5Two-Dimensional Ising ModelField-Programmable Gate Arrays

  33. CPU Optimization of a Monocular 3D Biomechanics Pipeline for Low-Resource Deployment

    Apr 17, 2026Yan Zhang, Xiong ZhaoBiomechanicsCentral Processing Units

  34. Towards Topology-Aware Very Large-Scale Photonic AI Accelerators

    Apr 16, 2026Belal Jahannia, Abdolah Amirany, Hamed DalirSparse Deep Neural Network Accelerators

  35. Xe-Forge: Multi-Stage LLM-Powered Kernel Optimization for Intel GPU

    Apr 16, 2026Marcin Spoczynski, Daniel Fleischer, Moshe Berchansky +5Graphics Processing Unit KernelsAccelerator

  36. Ragged Paged Attention: A High-Performance and Flexible LLM Inference Kernel for TPU

    Apr 16, 2026Jevin Jiang, Ying Chen, Blake A. Hechtman +2LLM Inference EfficiencyAccelerator

  37. AI-Enabled Covert Channel Detection in RF Receiver Architectures

    Apr 16, 2026Abdelrahman Emad Abdelazim, Alan Rodrigo Diaz-Rizo, Hassan Aboushady +1Sparse Deep Neural Network AcceleratorsRadio Frequency

  38. AIPC: Agent-Based Automation for AI Model Deployment with Qualcomm AI Runtime

    Apr 16, 2026Jianhao Su, Zhanwei Wu, ShengTing Huang +1Artificial Intelligence InfrastructureHeterogeneous Edge Devices

  39. Tessera: Unlocking Heterogeneous GPUs through Kernel-Granularity Disaggregation

    Apr 11, 2026Tiancheng Hu, Jin Qin, Zheng Wang +10Central Processing UnitsLLM Inference Efficiency

  40. RoboGPU: Accelerating GPU Collision Detection for Robotics

    Mar 2, 2026Lufei Liu, Liwei Xue, Yuan Hsi Chou +4Collision PredictionRobotics

  41. Bitwise Systolic Array Architecture for Runtime-Reconfigurable Multi-precision Quantized Multiplication on Hardware Accelerators

    Feb 26, 2026Yuhao Liu, Salim Ullah, Akash KumarSparse Deep Neural Network AcceleratorsMixed-Precision Quantization

  42. Physical Analogue Kolmogorov-Arnold Networks based on Reconfigurable Nonlinear-Processing Units

    Feb 7, 2026Manuel Escudero, Mohamadreza Zolfagharinejad, Sjoerd van den Belt +2Kolmogorov-Arnold NetworksAnalog

  43. BitLogic: Training Framework for Gradient-Based FPGA-Native Neural Networks

    Feb 7, 2026Simon Bührer, Andreas Plesner, Aczel Till +1Differentiable Logic Gate NetworksField-Programmable Gate Arrays

  44. KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta

    Dec 29, 2025Gang Liao, Hongsen Qin, Ying Wang +36AcceleratorLarge-Scale Recommendation Systems

  45. SparsePixels: Efficient Convolution for Sparse Data on FPGAs

    Dec 5, 2025Ho Fung Tsoi, Dylan Rankin, Vladimir Loncar +1Sparse Deep Neural Network AcceleratorsField-Programmable Gate Arrays

  46. DCC: Data-Centric Compilation of Machine Learning Kernels for Processing-In-Memory Architectures

    Nov 19, 2025Peiming Yang, Sankeerth Durvasula, Ivan Fernandez +4AcceleratorKernel Method

  47. NeuroFlex: Lossless Element-Level ANN-SNN Co-Execution for Efficient Sparse Inference

    Nov 7, 2025Varun Manjunath, Pranav Ramesh, Gopalakrishnan SrinivasanSparse Deep Neural Network AcceleratorsSpiking Neural Networks

  48. Panorama: Fast-Track Nearest Neighbors

    Oct 1, 2025Vansh Ramani, Alexis Schlomer, Akash Nayar +3Approximate Nearest-Neighbor SearchEmbedding Dimension

  49. Prima.cpp: Fast 30-70B LLM Inference on Heterogeneous and Low-Resource Home Clusters

    Apr 7, 2025Zonghang Li, Tao Li, Wenjiao Feng +8LLM Inference EfficiencyCentral Processing Units

  50. Pose-Based Fall Detection System: Efficient Monitoring on Standard CPUs

    Mar 25, 2025Vinayak Mali, Saurabh JaiswalRobust Fall DetectionCentral Processing Units

  51. Leveraging High-Level Synthesis and Large Language Models to Generate, Simulate, and Deploy a Uniform Random Number Generator Hardware Design

    Nov 6, 2023James T. MeechHardware Description LanguagesHigh-Level Synthesis

  52. XConv: Low-memory stochastic backpropagation for convolutional layers

    Jun 13, 2021Anirudh Thatipelli, Jeffrey Sam, Mathias Louboutin +3ConvolutionalBackpropagation

  53. Joint Architecture-Token-Bitwidth Multi-Axis Optimization of Vision Transformers for Semiconductor IC Packaging

    Date pendingPhat Nguyen, Xue Geng, Kaixin Xu +3Vision TransformerSparse Deep Neural Network Accelerators