Search Results - field-programmable gate array (FPGA) accelerator

A Tree Crown Segmentation Approach for Unmanned Aerial Vehicle Remote Sensing Images on Field Programmable Gate Array (FPGA) Neural Network Accelerator by Ma, Jiayi, Yan, Lingxiao, Chen, Baozhe, Zhang, Li

“…Tree crown detection of high-resolution UAV forest remote sensing images using computer technology has been widely performed in the last ten years. In forest…”
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HSBNN: A High-Scalable Bayesian Neural Networks Accelerator Based on Field Programmable Gate Arrays (FPGA) by Liu, Yinghao, Zhang, Hao, Sun, Zhe, Duan, Feng, Ma, Yuan, Lu, Wenyi, Caiafa, Cesar F., Solé-Casals, Jordi

“…Traditional artificial neural networks have inherent overfitting problems and tend to produce overly confident predictions due to their reliance on point…”
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MALOC: A Fully Pipelined FPGA Accelerator for Convolutional Neural Networks With All Layers Mapped on Chip by Gong, Lei, Wang, Chao, Li, Xi, Chen, Huaping, Zhou, Xuehai

“…Recently, field-programmable gate arrays (FPGAs) have been widely used in the implementations of hardware accelerator for convolutional neural networks (CNNs…”
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An Efficient CNN Accelerator Using Inter-Frame Data Reuse of Videos on FPGAs by Li, Shengzhao, Wang, Qin, Jiang, Jianfei, Sheng, Weiguang, Jing, Naifeng, Mao, Zhigang

“…) and field-programmable gate array (FPGA) CNN accelerators have been proposed. These accelerators primarily focus on the acceleration of a single input, and they are not particularly optimized for video applications…”
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Detect and Replace: Efficient Soft Error Protection of FPGA-Based CNN Accelerators by Gao, Zhen, Qi, Yanmao, Shi, Jinchang, Liu, Qiang, Ge, Guangjun, Wang, Yu, Reviriego, Pedro

“… Field-programmable gate arrays (FPGAs) are a popular accelerator for CNNs. However, FPGAs are prone to suffer soft errors, so the reliability of FPGA-based CNNs becomes a key problem when used in safety-critical applications…”
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Field Programmable Gate Array (FPGA) Accelerator Sharing by Rezaei, Siavash

“… Among hardware accelerators, Field Programmable Gate Arrays (FPGAs) have attracted significant attention due to their prominent performance and power efficiency…”
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Soft Error Tolerant Convolutional Neural Networks on FPGAs With Ensemble Learning by Gao, Zhen, Zhang, Han, Yao, Yi, Xiao, Jiajun, Zeng, Shulin, Ge, Guangjun, Wang, Yu, Ullah, Anees, Reviriego, Pedro

“… Field-programmable gate arrays (FPGAs) are popular accelerators for CNNs. However, if used in critical applications, the reliability of FPGA-based CNNs becomes a priority because FPGAs are prone to suffer soft errors…”
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Toward Efficient FPGA Accelerator DSE via Hierarchical and RM-Guided Methods by Shi, Chao, Cheng, Qianyu, Wang, Teng, Wang, Chao, Zhou, Xuehai

“…field-programmable gate array (FPGA) accelerator design has gradually become a mainstream acceleration solution, widely applied in fields, such as large language models, deep learning inference, autonomous driving, real-time 3-D scene…”
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DLAU: A Scalable Deep Learning Accelerator Unit on FPGA by Wang, Chao, Gong, Lei, Yu, Qi, Li, Xi, Xie, Yuan, Zhou, Xuehai

“…), which is a scalable accelerator architecture for large-scale deep learning networks using field-programmable gate array (FPGA…”
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A High Throughput Acceleration for Hybrid Neural Networks With Efficient Resource Management on FPGA by Yin, Shouyi, Tang, Shibin, Lin, Xinhan, Ouyang, Peng, Tu, Fengbin, Liu, Leibo, Wei, Shaojun

“…) of CLs, FLs, and RLs. Because the CLs require the most computation in hybrid-NNs, many field-programmable gate array (FPGA…”
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Design of Sparse CNN Accelerator Based on Inter-Frame Data Reuse by Qirun HONG, Qin WANG

“… However, conventional CNN accelerators focus only on the acceleration of single-image inferences and do not use data redundancy between successive video frames to accelerate video tasks…”
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A survey of field programmable gate array (FPGA)-based graph convolutional neural network accelerators: challenges and opportunities by Li, Shun, Tao, Yuxuan, Tang, Enhao, Xie, Ting, Chen, Ruiqi

“… Several studies have demonstrated that field programmable gate array (FPGA)-based GCNs accelerators, which balance high performance and low power consumption…”
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FPGA Accelerator for Real-Time Non-Line-of-Sight Imaging by Liao, Zhengpeng, Jiang, Deyang, Liu, Xiaochun, Velten, Andreas, Ha, Yajun, Lou, Xin

“… This paper proposes a field programmable gate array (FPGA) accelerator for the recently proposed Rayleigh-Sommerfeld Diffraction (RSD…”
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FPGA-Based High-Throughput CNN Hardware Accelerator With High Computing Resource Utilization Ratio by Huang, Wenjin, Wu, Huangtao, Chen, Qingkun, Luo, Conghui, Zeng, Shihao, Li, Tianrui, Huang, Yihua

“…The field-programmable gate array (FPGA)-based CNN hardware accelerator adopting single-computing-engine (CE…”
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FPGA-based Accelerator for Sparse Convolutional Neutral Network by DI Xinkai, YANG Haigang

“…),a dataflow and parallel accelerator system for the sparse neural network are designed based on the Field Programmable Gate array(FPGA…”
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A Distributed and Parallel Accelerator Design for 3-D Acoustic Imaging on FPGA-Based Systems by Zhao, Dongdong, Mao, Weibo, Chen, Peng, Hu, Yingtian, Liang, Haoran, Dang, Yuanjie, Liang, Ronghua, Guo, Xinxin

“… Based on this, we propose field-programmable gate array (FPGA)-based accelerator. It divides…”
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ETA: An Efficient Training Accelerator for DNNs Based on Hardware-Algorithm Co-Optimization by Lu, Jinming, Ni, Chao, Wang, Zhongfeng

“…) on field-programmable gate array (FPGA) by adopting a hardware-algorithm co-optimization approach…”
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A fully-mapped and energy-efficient FPGA accelerator for dual-function AI-based analysis of ECG by Liu, Wenhan, Guo, Qianxi, Chen, Siyun, Chang, Sheng, Wang, Hao, He, Jin, Huang, Qijun

“…In this paper, a fully-mapped field programmable gate array (FPGA) accelerator is proposed for artificial intelligence (AI…”
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Study of FPGA-based Error-controllable Floating-point Operation Accelerators by GUAN Mingxiao, LIU Jiakun, ZHANG Hongrui, HE Anping

“… In response to these issues,based on the programmable,low-power,and flexible characteristics of a Field Programmable Gate Array (FPGA…”
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Research on Efficient CNN Acceleration Through Mixed Precision Quantization: A Comprehensive Methodology by He, Yizhi, Liu, Wenlong, Tahir, Muhammad, Li, Zhao, Zhang, Shaoshuang, Amur, Hussain Bux

“…, we propose a mixed-precision CNN calculation method on a Field Programmable Gate Array (FPGA). This approach involves a collaborative design encompassing both software and hardware aspects…”
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