机构

• 计算技术研究所 [9]
• 自动化研究所 [2]
• 西安光学精密机械研究... [2]

采集方式

• OAI收割 [13]

内容类型

• 期刊论文 [11]
• 会议论文 [2]

发表日期

• 2024 [1]
• 2023 [1]
• 2022 [1]
• 2021 [4]
• 2020 [2]
• 2019 [3]
• 更多

学科主题

筛选

浏览/检索结果: 共13条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 ADS-CNN: Adaptive Dataflow Scheduling for lightweight CNN accelerator on FPGAs 期刊论文  OAI收割 FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2024, 卷号: 158, 页码: 138-149 作者:  Wan, Yi;  Xie, Xianzhong;  Chen, Junfan;  Xie, Kunpeng;  Yi, Dezhi   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/12/06 Lightweight convolutional neural networks  FPGA  Accelerator  Adaptive dataflow  Unified computing engine  Tiling strategy   Accelerating Convolutional Neural Networks by Exploiting the Sparsity of Output Activation 期刊论文  OAI收割 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2023, 卷号: 34, 期号: 12, 页码: 3253-3265 作者:  Fan, Zhihua   |  收藏  |  浏览/下载：17/0  |  提交时间：2024/05/20 Accelerator  output activation  prediction  sparse convolutional neural network   Block Convolution: Toward Memory-Efficient Inference of Large-Scale CNNs on FPGA 期刊论文  OAI收割 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 5, 页码: 1436-1447 作者:  Li, Gang;  Liu, Zejian;  Li, Fanrong;  Cheng, Jian   |  收藏  |  浏览/下载：74/0  |  提交时间：2022/06/10 Convolution  Field programmable gate arrays  System-on-chip  Task analysis  Random access memory  Tensors  Memory management  Block convolution  convolutional neural network (CNN) accelerator  field-programmable gate array (FPGA)  memory efficient  off-chip transfer   Practical Attacks on Deep Neural Networks by Memory Trojaning 期刊论文  OAI收割 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2021, 卷号: 40, 期号: 6, 页码: 1230-1243 作者:  Hu, Xing;  Zhao, Yang;  Deng, Lei;  Liang, Ling;  Zuo, Pengfei   |  收藏  |  浏览/下载：25/0  |  提交时间：2021/12/01 Trojan horses  Hardware  Integrated circuit modeling  Computational modeling  Security  Payloads  Convolutional neural networks (CNNs)  deep learning accelerator  deep learning attack  hardware Trojan   Microcombs for ultrahigh bandwidth optical data transmission and neural networks 会议论文  OAI收割 Virtual, Online, Czech republic, 2021-04-19 作者:  Tan, M.;  Xu, X.;  Corcoran, B.;  Wu, J.;  Boes, A.   |  收藏  |  浏览/下载：39/0  |  提交时间：2021/07/20 Optical neural networks  neuromorphic processor  microcomb  convolutional accelerator  data transmission   Hardware Acceleration for GCNs via Bidirectional Fusion 期刊论文  OAI收割 IEEE COMPUTER ARCHITECTURE LETTERS, 2021, 卷号: 20, 期号: 1, 页码: 4 作者:  Li, Han;  Yan, Mingyu;  Yang, Xiaocheng;  Deng, Lei;  Li, Wenming   |  收藏  |  浏览/下载：41/0  |  提交时间：2021/12/01 Random access memory  Computational modeling  Analytical models  Hardware  Engines  Computer architecture  Transforms  Graph convolutional neural networks  hardware accelerator  bidirectional execution  inter-phase fusion   Photonic convolutional accelerator and neural network in the Tera-OPs regime based on Kerr microcombs 会议论文  OAI收割 Virtual, Online, United states, 2021-03-06 作者:  Xu, Xingyuan;  Tan, Mengxi;  Corcoran, Bill;  Wu, Jiayang;  Boes, Andreas   |  收藏  |  浏览/下载：37/0  |  提交时间：2021/06/01 Optical neural networks  neuromorphic processor  microcomb  convolutional accelerator   Swallow: A Versatile Accelerator for Sparse Neural Networks 期刊论文  OAI收割 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 12, 页码: 4881-4893 作者:  Liu, Bosheng;  Chen, Xiaoming;  Han, Yinhe;  Xu, Haobo   |  收藏  |  浏览/下载：52/0  |  提交时间：2021/12/01 Accelerator  convolutional (Conv) layers  fully connected (FC) layers  sparse neural networks (SNNs)   FSA: A Fine-Grained Systolic Accelerator for Sparse CNNs 期刊论文  OAI收割 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 11, 页码: 3589-3600 作者:  Li, Fanrong;  Li, Gang;  Mo, Zitao;  He, Xiangyu;  Cheng, Jian   |  收藏  |  浏览/下载：34/0  |  提交时间：2021/01/06 Accelerator  architecture  convolutional neural networks (CNNs)  sparsity   SqueezeFlow: A Sparse CNN Accelerator Exploiting Concise Convolution Rules 期刊论文  OAI收割 IEEE TRANSACTIONS ON COMPUTERS, 2019, 卷号: 68, 期号: 11, 页码: 1663-1677 作者:  Li, Jiajun;  Jiang, Shuhao;  Gong, Shijun;  Wu, Jingya;  Yan, Junchao   |  收藏  |  浏览/下载：48/0  |  提交时间：2020/12/10 Convolutional neural networks  accelerator architecture  hardware acceleration