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检索条件"主题词=Algorithm-Hardware Co-Design"
37 条 记 录,以下是11-20 订阅
排序:
M2-ViT: Accelerating Hybrid Vision Transformers With Two-Level Mixed Quantization
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IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS 2025年 第5期33卷 1492-1496页
作者: Liang, Yanbiao Shi, Huihong Wang, Zhongfeng Nanjing Univ Sch Elect Sci & Engn Nanjing 210023 Peoples R China Sun Yat Sen Univ Sch Integrated Circuits Shenzhen 518107 Peoples R China
Although vision transformers (ViTs) have achieved significant success, their intensive computations and substantial memory overheads challenge their deployment on edge devices. To address this, efficient ViTs have eme... 详细信息
来源: 评论
NASA-F: FPGA-Oriented Search and Acceleration for Multiplication-Reduced Hybrid Networks
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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS 2024年 第1期71卷 306-319页
作者: Shi, Huihong Xu, Yang Wang, Yuefei Mao, Wendong Wang, Zhongfeng Nanjing Univ Sch Elect Sci & Engn Nanjing 210023 Peoples R China Sun Yat sen Univ Sch Integrated Circuits Shenzhen 518107 Peoples R China
The costly multiplications challenge the deployment of modern deep neural networks (DNNs) on resource-constrained devices. To promote hardware efficiency, prior works have built multiplication-free models. However, th... 详细信息
来源: 评论
BSViT: A Bit-Serial Vision Transformer Accelerator Exploiting Dynamic Patch and Weight Bit-Group Quantization
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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS 2024年 第9期71卷 4064-4077页
作者: Wang, Gang Cai, Siqi Li, Wenjie Lyu, Dongxu He, Guanghui Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Shanghai 200240 Peoples R China Shanghai Jiao Tong Univ AI Inst MoE Key Lab Artificial Intelligence Shanghai 200240 Peoples R China
Vision Transformers (ViTs) have achieved remark-able success in computer vision (CV) and are increasingly recognized as the new backbone for vision-language multi-modal tasks. Despite their success, the high computati... 详细信息
来源: 评论
An Energy-Efficient ECG Processor With Ultra-Low-Parameter Multistage Neural Network and Optimized Power-of-Two Quantization
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IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 2024年 第6期18卷 1296-1307页
作者: Zhang, Zuo Guan, Yunqi Ye, Wenbin Shenzhen Univ Sch Microscale Optoelect Shenzhen 518060 Peoples R China Shenzhen Univ Coll Elect & Informat Engn Shenzhen 518060 Peoples R China
This work presents an energy-efficient ECG processor designed for Cardiac Arrhythmia Classification. The processor integrates a pre-processing and neural network accelerator, achieved through algorithm-hardware co-des... 详细信息
来源: 评论
An Efficient Window-Based Vision Transformer Accelerator via Mixed-Granularity Sparsity
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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS 2025年
作者: Dong, Qiwei Zhang, Siyu Wang, Zhongfeng Nanjing Univ Sch Elect Sci & Engn Nanjing 210023 Peoples R China Sun Yat Sen Univ Sch Integrated Circuits Shenzhen 518107 Peoples R China
Vision Transformers (ViTs) have achieved excellent performance on various computer vision tasks, while their high computation and memory costs pose challenges for practical deployment. To address this issue, token-lev... 详细信息
来源: 评论
An Ultralow-Power H.264/AVC Intra-Frame Image compression Accelerator for Intelligent Event-Driven IoT Imaging Systems
IEEE SOLID-STATE CIRCUITS LETTERS
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IEEE SOLID-STATE CIRCUITS LETTERS 2024年 7卷 30-33页
作者: Zhang, Qirui An, Hyochan Bejarano-Carbo, Andrea Kim, Hun-Seok Blaauw, David Sylvester, Dennis Univ Michigan Dept Elect & Comp Engn Ann Arbor MI 48109 USA Apple Cupertino CA 95014 USA
This letter presents an ultralow-power (ULP) H.264/AVCintra-frame image compression accelerator tailored for intelligent event-driven ULP IoT imaging systems. The H.264/AVC intra-frame codec is customized to enable co... 详细信息
来源: 评论
NASA plus : Neural Architecture Search and Acceleration for Multiplication-Reduced Hybrid Networks
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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS 2023年 第6期70卷 2523-2536页
作者: Shi, Huihong You, Haoran Wang, Zhongfeng Lin, Yingyan Georgia Inst Technol Atlanta GA 30332 USA Nanjing Univ Sch Elect Sci & Engn Nanjing 210093 Peoples R China Georgia Inst Technol Sch Comp Sci Atlanta GA 30332 USA Nanjing Univ Sch Elect Sci & Engn Nanjing 210093 Peoples R China
Multiplication is arguably the most computation-intensive operation in modern deep neural networks (DNNs), limiting their extensive deployment on resource-constrained devices. Thereby, pioneering works have handcrafte... 详细信息
来源: 评论
Accelerating On-Device DNN Training Workloads via Runtime convergence Monitor
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IEEE TRANSACTIONS ON coMPUTER-AIDED design OF INTEGRATED CIRCUITS AND SYSTEMS 2023年 第5期42卷 1574-1587页
作者: Choi, Seungkyu Shin, Jaekang Kim, Lee-Sup Univ Michigan Dept Elect & Comp Engn Ann Arbor MI 48109 USA Korea Adv Inst Sci & Technol Sch Elect Engn Daejeon 34141 South Korea
With the growing demand for processing deep learning applications on edge devices, on-device DNN training has become a major workload to execute a variety of vision tasks suited for users. Therefore, architectures emp... 详细信息
来源: 评论
An FPGA-Based Event-Driven SNN Accelerator for DVS Applications With Structured Sparsity and Early-Stop
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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS 2025年
作者: Cheng, Xi Cao, Shu Wang, Shangmei Wang, Mingyu Li, Wenhong Zeng, Xiaoyang Fudan Univ State Key Lab Integrated Chips & Syst Shanghai 201203 Peoples R China
This paper proposed an algorithm-hardware co-design of an event-driven spiking neural network (SNN) accelerator for classification tasks of event-based data from dynamic vision sensors (DVS), which can implement a fee... 详细信息
来源: 评论
Unearthing the Potential of Spiking Neural Networks
Unearthing the Potential of Spiking Neural Networks
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27th design, Automation and Test in Europe conference and Exhibition (DATE)
作者: Chowdhury, Sayced Shafayet Kosta, Adarsh Kumar Sharma, Dccpika Apolinario, Marco P. E. Roy, Kaushik Purdue Univ Sch ECE W Lafayette IN 47907 USA
Spiking neural networks (SNNs) offer a promising alternative to traditional analog neural networks (ANNs), especially for sequential tasks, with enhanced energy efficiency. The internal memory in SNNs obtained through... 详细信息
来源: 评论