FTRANS: energy-efficient acceleration of transformers using FPGA

Cited by (206)

Items 101–200 of 206

1. An FPGA-Based Transformer Accelerator With Parallel Unstructured Sparsity Handling for Question-Answering Applications
   Rujian Cao, Zhongyu Zhao, Ka-Fai Un, Wei-Han Yu, Rui Paulo Martins, Pui‐In Mak · 2024 · IEEE Transactions on Circuits & Systems II Express Briefs
2. A Lightweight Transformer Model using Neural ODE for FPGAs
   Ikumi Okubo, Keisuke Sugiura, Hiroki Kawakami, Hiroki Matsutani · 2023 · IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum
3. MCoreOPU: An FPGA-based Multi-Core Overlay Processor for Transformer-based Models
   Shaoqiang Lu, Tiandong Zhao, Ting-Jung Lin, Rumin Zhang, C.-L. Wu, Lei He · 2025 · ACM Transactions on Reconfigurable Technology and Systems
4. LSTM Hardware Inference Accelerator for LiteRT
   G. Mannes, Erez Manor, Shlomo Greenberg · 2025 · IEEE Transactions on Circuits and Systems I Regular Papers
5. CSTrans-OPU: An FPGA-based Overlay Processor with Full Compilation for Transformer Networks via Sparsity Exploration
   Yueyin Bai, Keqing Zhao, Yang Liu, Hongji Wang, Hao Zhou, Xiaoxing Wu, Jun Wei Yu, Kun Wang · 2024 · ACM/IEEE Design Automation Conference (DAC)
6. Efficient quantized transformer for atrial fibrillation detection in cross-domain datasets
   Maedeh H. Toosi, Mahdi Mohammadi-nasab, Siamak Mohammadi, Mostafa E. Salehi · 2025 · Engineering Applications of Artificial Intelligence
7. FINN-T: Compiling Custom Dataflow Accelerators for Quantized Transformers
   Christoph Berganski, Felix Paul Jentzsch, Marco Platzner, Max Kuhmichel, Heiner Giefers · 2024 · International Conference on Field-Programmable Technology (FPT)
8. DynaX: Sparse Attention Acceleration with Dynamic X:M Fine-Grained Structured Pruning
   Xiao Xiong, Zhaorui Chen, Yue Liang, Minghao Tian, Jiaxing Shang, Jiang Zhong, Dajiang Liu · 2025 · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)
9. Edge-BiT: Software-Hardware Co-design for Optimizing Binarized Transformer Networks Inference on Edge FPGA
   Shuai Zhou, Sisi Meng, Huinan Tian, Jun Wei Yu, Kun Wang · 2024
10. LoopLynx: A Scalable Dataflow Architecture for Efficient LLM Inference
    Jianing Zheng, Gang Chen · 2025 · Design, Automation, and Test in Europe
11. Token Packing for Transformers with Variable-Length Inputs
    Tiandong Zhao, Siyuan Miao, Shaoqiang Lu, Jialin Cao, Jun Qiu, Xiao Shi, Kun Wang, Lei He · 2023 · International Conference on Field Programmable Logic and Applications (FPL)
12. Binary Complex Neural Network Acceleration on FPGA
    Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Li, Ang, Wěi Zhāng, Minghu Song, Mimi Xie et al. · 2021 · arXiv (Cornell University)
13. Robustness Against Faults in Configuration Memories of FPGA-Based LLMs
    Zhen Gao, Lini Yuan, Jingyan Wang, Qiang Liu, Javier Conde, Pedro Reviriego, Shulin Zeng, Yu Wang, Shanshan Liu, Fabrizio Lombardi · 2025 · IEEE transactions on circuits and systems for artificial intelligence.
14. Attaining hardware-efficient inference in memristor-based transformer accelerator via network redesign
    Junzhe Xu, Haoqin Hong, Yue Zhou, Xiaofang Hu, Shukai Duan · 2025 · Neurocomputing
15. FPGA-Based Acceleration of Deep Learning Networks: Techniques and Applications
    Han Wang, Xiaoyue Liu, Yi Yang, Qin Liang Liao, Shiyu Ke, Yong Dong · 2025 · International Conference on Computer Information and Big Data Applications (CIBDA)
16. An FPGA-Based Frequency-Focused Vision Transformer Accelerator for Real-Time Inference on Edge Platforms
    Chengrui Tian, Congwei Liao, Tao Zhang, Jiafeng Ding, Xiaowen Xu, Lianwen Deng · 2025 · IEEE Transactions on Circuits and Systems I Regular Papers
17. Quattro: Transformer-Accelerated Iterative Linear Quadratic Regulator Framework for Fast Trajectory Optimization
    Yue Wang, Haoyu Wang, Zhaoxing Li · 2025 · IEEE Conference on Decision and Control (CDC)
18. Hardware and Software Co-optimization of Convolutional and Self-attention Combined Model Based on FPGA
    Wei Hu, Heyuan Li, Fang Liu, Zhiyv Zhong · 2024 · Lecture notes in computer science
19. ONE-SA: Enabling Nonlinear Operations in Systolic Arrays For Efficient and Flexible Neural Network Inference
    Ruiqi Sun, Yinchen Ni, Xin James He, Jie Zhao, An Zou · 2024 · Design, Automation, and Test in Europe
20. DESA: Dataflow Efficient Systolic Array for Acceleration of Transformers
    Zhican Wang, Hongxiang Fan, Guanghui He · 2025 · IEEE Transactions on Computers
21. Evaluating a New Attention Framework Based on Matrix Blocking for Attention Models on FPGAs
    Xiaohang Liu, Jingfei Jiang, Jinwei Xu, Lei Gao · 2022 · IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
22. HLC: A Hardware-friendly Quantization and Cache-based Accelerator for Transformer
    Xiangfeng Sun, Yuanting Zhang, Yunchang Jiang, Zheng Li, Bingjin Han, Junyi Mai, Zhibin Luo, Enyi Yao · 2024 · IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)
23. Hardware-friendly Hessian-driven Row-wise Quantization and FPGA Acceleration for Transformer-based Models
    Woo-Hong Byun, Jongseok Woo, Saibal Mukhopadhyay · 2024 · International Symposium on Low Power Electronics and Design (ISLPED)
24. TReX- Reusing Vision Transformer’s Attention for Efficient Xbar-Based Computing
    Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda · 2024 · IEEE Transactions on Emerging Topics in Computing
25. Hardware Accelerated Vision Transformer via Heterogeneous Architecture Design and Adaptive Dataflow Mapping
    Yingxue Gao, Teng Wang, Lei Gong, Chao Wang, Dong Dai, Yang Yang, Xianglan Chen, Xi Li, Xuehai Zhou · 2024 · IEEE Transactions on Computers
26. LLM Acceleration on FPGAs: A Comparative Study of Layer and Spatial Accelerators
    Luis D. Prieto-Sibaja, Luis G. León-Vega, Indra Leόn-Vega, J. Castro Godinez, Stefano Cozzini · 2024 · IEEE Central America and Panama Convention (CONCAPAN)
27. An Efficient FPGA-Based Hardware Accelerator of Fully Quantized Mamba-2
    Kailing Zhou, Han Jiao, Wenjin Huang, Yihua Huang · 2025 · IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM)
28. DATA: A Memory-Efficient Deformable Transformer Accelerator via Neural Architecture Search
    Mingfan Zhao, Wendong Mao, Zhongfeng Wang · 2025 · IEEE Transactions on Very Large Scale Integration (VLSI) Systems
29. Reducing Energy Footprint of LLM Inference Through FPGA-Based Heterogeneous Computing Platforms
    Thiago Cormie Monteiro, Andrea Guerrieri · 2026 · Electronics
30. PADE: A Predictor-Free Sparse Attention Accelerator via Unified Execution and Stage Fusion
    Huizheng Wang, Hongbin Wang, Zichuan Wang, Zhiheng Yue, Yang Wang, Chao Li, Yang Hu, Shouyi Yin · 2026 · IEEE International Symposium on High-Performance Computer Architecture (HPCA)
31. Hardware and Software Co-optimization for Windows Attention
    Wei Hu, Kejie Hu, Fang Liu, Jie Fan · 2022 · Lecture notes in computer science
32. An Efficient Transformer Inference Engine on DSP
    Kangkang Chen, Huayou Su, Chaorun Liu, Xiaoli Gong · 2023 · Lecture notes in computer science
33. From Acceleration to Accelerating Acceleration: Modernizing the Accelerator Landscape using High-Level Synthesis
    Rishov Sarkar, Cong Hao · 2023 · IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM)
34. An Energy-Efficient Heterogeneous Fourier Transform-Based Transformer Accelerator with Frequency-Wise Dynamic Bit-Precision
    Jingu Lee, Sangjin Kim, Wooyoung Jo, Hoi‐Jun Yoo · 2023 · IEEE Asian Solid-State Circuits Conference (A-SSCC)
35. A Low-Latency and Scalable Vector Engine with Operation Fusion for Transformers
    Mincheol Cha, Keehyuk Lee, Xuan Truong Nguyen, Hyuk‐Jae Lee · 2024 · IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)
36. Vision Transformer Acceleration via a Versatile Attention Optimization Framework
    Xuhang Wang, Qiyue Huang, Xing Li, Haozhe Jiang, Qiang Xu, Xiaoyao Liang, Zhuoran Song · 2024 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
37. A Hardware Architecture for Shared Residuals and Simplified Symmetric-PWL-Based GELU
    Zhelai Ding, Dezheng Zhang, Dong Wang · 2024 · International Conference on Signal Processing
38. FAS-Trans: Fully Exploiting FFN and Attention Sparsity for Transformer on FPGA
    Hongji Wang, Kun Wang, Yifan Zhang, Jun Wei Yu · 2024
39. TransLib: An Extensible Graph-Aware Library Framework for Automated Generation of Transformer Operators on FPGA
    Yang Liu, Tianchen Wang, Yuxuan Dong, Zexu Zhang, Shun Li, Jun Wei Yu, Kun Wang · 2024
40. A Component-Centric Perspective on Hardware Accelerators for LLMs
    Ke Jia, Xiaohao Wang, Hailin Chen, Zhong Wei, Li Xinxiong, Fang Zenan, Fengwei An · 2025 · IEEE Access
41. Being-ahead: Benchmarking and Exploring Accelerators for Hardware-Efficient AI Deployment
    Xiaofan Zhang, Hanchen Ye, Deming Chen · 2021 · arXiv (Cornell University)
42. Adaptive Modulation and Coding for Underwater Acoustic
    Jinchen Zhou, Xiaohui Sun · 2023 · IEEE Information Technology and Mechatronics Engineering Conference (ITOEC)
43. DBiT: A High-Precision Binarized ViT FPGA Accelerator
    Jun Gong, Wei Tao, Tian Li, Yongxin Zhu, Hui Wang · 2025 · Journal of Signal Processing Systems
44. RTA: A Reconfigurable Transformer Accelerator Exploiting Sparsity via Low-Bit-Width Prediction
    Yujie Chen, Chen Yang, Yuheng Xia, Yishuo Meng, Jianfei Wang, Qiang Fu, Li Geng · 2025 · IEEE Transactions on Very Large Scale Integration (VLSI) Systems
45. Terafly: A Multinode FPGA-Based Accelerator Design for Efficient Cooperative Inference in LLMs
    Jianing Zheng, Gang Chen, Libo Huang, Xin Lou, Wei‐Shi Zheng · 2025 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
46. Robin: RWKV Accelerator using Block Circulant Matrices based on FPGA
    Zeyu Li, Shangkun Li, Chuyi Dai, Chaofang Ma, Jiawei Liang, Xin Li, Wei Zhang · 2025 · 2025 IEEE/ACM International Conference On Computer Aided Design (ICCAD)
47. Designing Spatial Architectures for Sparse Attention: STAR Accelerator via Cross-Stage Tiling
    Huizheng Wang, Taiquan Wei, Hongbin Wang, Zichuan Wang, Xinru Tang, Zhiheng Yue, Shaojun Wei, Yang Hu, Shouyi Yin · 2025 · IEEE Transactions on Computers
48. FESTAL: Dataflow Accelerator Synthesis Framework with Graph-Based Fusion for FPGA
    Ruifan Xu, Yuyang Zou, Yun Eric Liang · 2026 · Asia and South Pacific Design Automation Conference (ASP-DAC)
49. BitStopper: An Efficient Transformer Attention Accelerator via Stage-fusion and Early Termination
    Huizheng Wang, Hongbin Wang, Shaojun Wei, Yang Hu, Shouyi Yin · 2026 · Asia and South Pacific Design Automation Conference (ASP-DAC)
50. Research on FPGA Acceleration of Transformer Model for Modulation Recognition
    Jiyan Lan, Yifan Lin, Jinlong Zhuang, Shengliang Peng · 2025 · International Conference on Information Communication and Software Engineering (ICICSE)
51. T 3 : Transformer Accelerator With Efficient Top- K Sorting and Dynamic Tanh Computation for Marine Edge Computing
    Dingyang Yu, Xinrui Zhang, Changlong Chen, Seok‐Bum Ko, Hao Zhang · 2026 · IEEE Transactions on Very Large Scale Integration (VLSI) Systems
52. DANMP: Accelerating Multi-Scale Deformable Attention Using Near-Memory-Processing Architecture
    Huize Li, Qinggang Wang, Bin Gao, Dan Chen, Yu Huang, Xin Xin · 2026 · International Conference on Supercomputing
53. Hypervision: An on-chip hyperspectral microsystem for online video-rate computational imaging
    Liheng Bian, Qinghao Meng, Lianjie Li, Zhen Wang, Yibo Feng, Xuan Peng, Jiajun Zhao, Jingyi Wang, Zhu Yang, Jun Zhang · 2026 · Science
54. FPGA-based design and implementation of the location attention mechanism in neural networks
    Ruixiu Qiao, Xiaozhou Guo, Wenyu Mao, Jixing Li, Huaxiang Lu · 2022 · Journal of Intelligent & Fuzzy Systems
55. Software and Hardware Fusion Multi-Head Attention
    Wei Hu, Dian Guo Xu, Fang Liu, Zimeng Fan · 2022 · Lecture notes in computer science
56. Balance Multi-Head Attention based on Software and Hardware Co-design
    Dian Guo Xu, Wei Hu, Fang Liu, Zimeng Fan, Qingsong Shi · 2022 · IEEE International Conference on Cyber Security and Cloud Computing / IEEE International Conference on Edge Computing and Scalable Cloud (CSCloud/EdgeCom)
57. FPGA-Based Accelerator for Rank-Enhanced and Highly-Pruned Block-Circulant Neural Networks
    Haena Song, Jongho Yoon, Dohun Kim, Eunji Kwon, Tae-Hyun Oh, Seokhyeong Kang · 2023 · Design, Automation, and Test in Europe
58. Parallel Implementation of Vision Transformer on a Multi-FPGA Cluster
    Yasuyu Fukushima, Kensuke Iizuka, Hideharu Amano · 2023 · International Symposium on Computing and Networking
59. AutonomROS: A ReconROS-based Autonomous Driving Unit
    Christian Lienen, Mathis Brede, Daniel Karger, Kevin Koch, Dalisha Logan, Janet Mazur, Alexander Nowosad, Alexander Schnelle, Mohness Waizy, Marco Platzner · 2023 · IEEE International Conference on Robotic Computing (IRC)
60. Neural-Based Video Compression on Solar Dynamics Observatory Images
    Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara J. Thompson, Michael S. Kirk, D. E. da Silva · 2024 · IEEE Transactions on Aerospace and Electronic Systems
61. SpikeMotion: A Transformer Framework for High - Throughput Video Segmentation on FPGA
    Uchechukwu Leo Udeji, Martin Margala · 2024 · IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)
62. Enhancing AI Efficiency: The Synergy of Transformer Models and FPGA Technology
    Xin Guo · 2025 · Smart innovation, systems and technologies
63. A Vision Transformer Inference Accelerator for KR260
    Zhenshan Bao, Han Li, Wenbo Zhang · 2024
64. Funnel: An Efficient Sparse Attention Accelerator with Multi-Dataflow Fusion
    Shenghong Ma, Jinwei Xu, Jingfei Jiang, Yaohua Wang, Dongsheng Li · 2024 · IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA)
65. An Accurate and Compact Design Integrating Seven Common Nonlinear Functions in Deep Learning
    J.C. Wu, Ting-Wei Hu, Chih-Yao Liang, Juinn-Dar Huang · 2025 · IEEE International Symposium on Circuits and Systems proceedings
66. FPGA Routing Optimization Based on Multi-Level MUX Architecture
    Xizheng Li, Kaichuang Shi, Wai-Shing Luk, Hao Zhou, Lingli Wang · 2024 · International Conference on Field-Programmable Technology (FPT)
67. Fast Energy-Optimal Multikernel DNN-Like Application Allocation on Multi-FPGA Platforms
    Junnan Shan, Mihai Teodor Lazarescu, Jordi Cortadella, Luciano Lavagno, Mario R. Casu · 2021 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
68. BTPA: Hardware-Software Co-Design for Bitwise Based Transformer with Parallelized Accelerator
    Junkai Zhang, Gaoxiang Duan, Zunkai Huang, Hui Zhu Wang, Yongxin Zhu · 2024 · IEEE International Conference on Big Data Security on Cloud, IEEE International Conference on High Performance and Smart Computing, and IEEE International Conference on Intelligent Data and Security (BigDataSecurity/HPSC/IDS)
69. ViT Hybrid Channel Fit Pruning Algorithm for Co-optimization of Hardware and Software for Edge Device
    Fang Liu, Heyuan Li, Ziyu Chen, Wei Hu, Yanxiang He, Fei Wang · 2024 · Lecture notes in computer science
70. FakeGuard: Novel Architecture Support for Deepfake Detection Networks
    Xingbin Wang, Dan Meng, Rui Hou, Yan Wang · 2024 · Lecture notes in computer science
71. Design and Implementation of IP Operator Library as Backend of Neural Network on ZYNQ FPGA
    Ying Li, Yangdong Liu, Kai Xu, Jingzhuo Liang, Yue Yan, Hao You · 2024
72. g-circulant matrix and its matrix-vector multiplication algorithm on transformer neural network
    Euis Asriani, Intan Muchtadi-Alamsyah, Ayu Purwarianti · 2024 · AIP conference proceedings
73. Transformer Attention Matrix Multiplication Design using 4 × 4 Systolic Arrays
    Muhammad Sayyid Afif, Infall Syafalni, Nana Sutisna, Trio Adiono · 2024 · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
74. MCTA: A Multi-Stage Co-Optimized Transformer Accelerator with Energy-Efficient Dynamic Sparse Optimization
    Heng Liu, Ming Han, Jin Xiang Wu, Ye Wang, Jian Dong · 2025 · Design, Automation, and Test in Europe
75. Optimized Coding and Parameter Selection for Efficient FPGA Design of Attention Mechanisms
    Ehsan Kabir, Austin R. J. Downey, Jason D. Bakos, David A. Andrews, Miaoqing Huang · 2025 · IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM)
76. Hardware-Efficient VLSI Implementation of Self-Attention Transformers for Natural Language Processing
    Mogal Riyaz, P. Naveen Kumar, I. Saikrishna, R. Saiteja · 2025 · Devices for Integrated Circuit (DevIC)
77. FlexPE: Flexible Processing Elements for Workload Optimization and Acceleration on FPGAs
    Lasya Punya Sree Gundumogula, Rachana Kaparthi, Himanshu Rai, Nanditha Rao · 2025 · IEEE International Symposium on Circuits and Systems proceedings
78. METAL: A Memory-Efficient Transformer Architecture for Long-Context Inference on FPGA
    Zicheng He, Shaoqiang Lu, Tiandong Zhao, Jinlong Yan, Wu Chen, Lei He · 2025 · IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP)
79. Overview of Key Technologies and Architecture for FPGA-Based Underwater Acoustic Positioning and Detection Systems
    Chuanxi Xing, Hu. Minglinhan · 2025 · Recent Patents on Engineering
80. Survey of FPGA-based accelerators for large language models
    Fengshuo Song, Eli Bozorgzadeh · 2026 · Journal of Parallel and Distributed Computing
81. HEAT: NPU-NDP HE terogeneous A rchitecture for T ransformer-Empowered Graph Neural Networks
    R.H. Chen, Zhuoran Song, Yicheng Zheng, Zeyu Zhu, Gang Li, Naifeng Jing, Xiaoyao Liang, Haibing Guan · 2025 · IEEE/ACM International Symposium on Microarchitecture (MICRO)
82. Sub 4-bit Power-of-Two-Based Mixed-Precision Quantization for Efficient LLM Compression and Acceleration
    Han Cho, Apurba Prasad Padhy, Fernando Camacho, Saibal Mukhopadhyay · 2025 · IEEE Access
83. Performance Evaluation of Flan-T5 in CGLA based Accelerators
    Yu Eto, Takuto Ando, Yasuhiko Nakashima · 2025 · IEEE International System-on-Chip Conference (SOCC)
84. SiST: Token Similarity and Sparsity Aware Optimization for Transformers on FPGA
    Yifan Zhang, Hongji Wang, Genhao Zhang, Jianli Chen, Jun Yu, Kun Wang · 2025
85. Low-Bit Integerization of Vision Transformers Using Operand Reordering for Efficient Hardware
    Ching‐Yi Lin, Sahil S. Shah · 2025 · IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)
86. Automated FPGA Accelerator Generation Framework for Transformers with Dataflow Optimization
    Wenqi Lou, Yunji Qin, Zihao Wang, Chao Wang, Lei Gong, Xuehai Zhou · 2025 · Proceedings of the International Conference on Parallel Processing
87. Hardware Implementation and Side-Channel Security Analysis for High-Precision AI Tansformer Encoder
    Wentao Wang, Liji Wu, Jing Hu, Le Wu, Xiangmin Zhang · 2025 · International Conference on Integrated Circuits and Microsystems (ICICM)
88. Hardware-Efficient VLSI Implementation of Self-attention Transformers for Natural Language Processing
    Mogal Riyaz, P. Naveen Kumar, I. Saikrishna, R. Saiteja · 2026 · Lecture notes in electrical engineering
89. Self-Calibrating Analog Circuitry for Softmax-Scaled Function With Analog Computing-In-Memory
    Linjun Jiang, Yitong Zhou, He Zhang, Wang Kang · 2026 · IEEE Transactions on Very Large Scale Integration (VLSI) Systems
90. SAASVIT: Row-Wise Product Based Sparse Attention Acceleration for Spiking ViT
    Kainan Wang, Lei Liu, Aili Wang · 2025 · International Conference on Machine Intelligence and Nature-Inspired Computing (MIND)
91. High-Performance FPGA-Based System for Diabetic Retinopathy Classification
    Fengtao Shi, Yongjiang Xue, Jinzhu ZHANG, Qingzeng Song · 2025 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
92. Design and Exploration of a Parameterized Hybrid Routing Architecture for FPGAs
    Yuanqi Wang, Yunfei Dai, Xianfeng Cao, Eric Ren, Xifan Tang, Weijun Qin, Tao Li, Lingli Wang · 2025 · International Conference on Field-Programmable Technology (FPT)
93. SATNet: Low Complexity Encoder-Only Edge Transformer Design Using Second-Order Approximation for Road Classification
    Mohammed Rafi Shaik, Pabitra Das, Dheeraj Chellu, Karthikeyan Mohanraj, Chandrajit Pal, Dubacharla Gyaneshwar, Amit Acharyya · 2026 · IEEE Transactions on Consumer Electronics
94. Toward Energy-Efficient Transformers: Recent Trends in Optimization Techniques
    Jaehyun Chung, Seungcheol Oh, Junsu Kim · 2025 · International Conference on Information and Communication Technology Convergence (ICTC)
95. FPGA-Based Hybrid GCN–Transformer Accelerator for 3D Pose Estimation
    Ziqi Zhang, Yongjiang Xue, Fei Qiao, Qingzeng Song · 2026 · Lecture notes in computer science
96. DRL-Enabled Polymorphic Acceleration Framework for Flexible and Energy-Efficient Hybrid-Float Deep Learning Inference in Mobile Computing
    Qunkang Meng, J B Hu, Zhihan Zhang, Z L Li, Xingyu Shi, Jun Luo, Q C Huang, Hao Wang, Sheng Chang · 2026 · IEEE Transactions on Mobile Computing
97. Design and Evaluation of Energy‐Efficient Whisper Dot‐Product Kernel Offloading on a CGLA Architecture
    Takuto Ando, Yu Eto, Ayumu Takeuchi, Yasuhiko NAKASHIMA · 2026 · Concurrency and Computation Practice and Experience
98. LSFAF: A Layer-Sharing and FPGA-Accelerated Framework for Fast Collaborative Inference in Edge Scenarios
    Bin Zheng, Yujie Peng, Zhenkai Sun, Jianxin Wang, Jin Wang · 2026 · ACM International Conference on Computing Frontiers (CF)
99. MLX: Multi-Layer Execution for Structured LLM Workload Acceleration on Spatial Architectures
    Haibin Wu, Wenming Li, Zhihua Fan, Zirui Ma, Yuqun Liu, Tengfei Xia, Yanhuan Liu, Kunming Zhang, Xiaochun Ye, Dongrui Fan et al. · 2026 · Proceedings - International Symposium on Computer Architecture/Proceedings
100. Towards Energy-Efficient Underwater Visual Perception via an FPGA Accelerator of Vision Transformers
     Yan Liu, Qingpeng Li, Fenghui Huo, Hui Xu, Haiyong Zheng · 2026 · MTS/IEEE OCEANS Conference (OCEANS)