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• OAI收割 [11]
• iSwitch采集 [1]

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• 期刊论文 [8]
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浏览/检索结果: 共12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 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   ECBC: Efficient Convolution via Blocked Columnizing 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 2021, 页码: 13, 13 作者:  Zhao, Tianli;  Hu, Qinghao;  He, Xiangyu;  Xu, Weixiang;  Wang, Jiaxing   |  收藏  |  浏览/下载：44/0  |  提交时间：2022/01/27 Convolution  Convolution  Tensors  Layout  Memory management  Indexes  Transforms  Performance evaluation  Convolutional neural networks (CNNs)  direct convolution  high performance computing for mobile devices  im2col convolution  memory-efficient convolution (MEC)  Tensors  Layout  Memory management  Indexes  Transforms  Performance evaluation  Convolutional neural networks (CNNs)  direct convolution  high performance computing for mobile devices  im2col convolution  memory-efficient convolution (MEC)   Block Convolution: Towards 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, 2021, 期号: 2021.5, 页码: 1-1 作者:  Li, Gang;  Liu, Zejian;  Li, Fanrong;  Cheng, Jian   |  收藏  |  浏览/下载：44/0  |  提交时间：2022/02/15 block convolution  memory-efficient  off-chip transfer  fpga  cnn accelerator   N-chloro hydantoin functionalized polyurethane fibers toward protective cloth against chemical warfare agents 期刊论文  OAI收割 POLYMER, 2018, 卷号: 138, 页码: 146-155 作者:  Ying, Wu Bin;  Choi, Jihyun;  Moon, Da Som;  Ryu, Sam Gon;  Lee, Bumjae   |  收藏  |  浏览/下载：92/0  |  提交时间：2018/12/04 Efficient Decontaminating Reagent  Shape-memory Polyurethanes  Sulfur Mustard  Soft Segment  Degradation  Nanoparticles  n  Fluorescence  N-dichlorovaleramide  Additives  Simulants   Memory Efficient Two-Pass 3D FFT Algorithm for Intel? Xeon Phi~(TM) Coprocessor 期刊论文  OAI收割 Journal of Computer Science and Technology, 2014, 卷号: 29, 期号: 6, 页码: 989 作者:  Liu Yiqun;  Li Yan;  Zhang Yunquan;  Zhang Xianyi   |  收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04 3D-FFT  memory efficient  many-core  Many Integrated Core  Intel? Xeon Phi~(TM)   Soluble reduced graphene oxide functionalized with conjugated polymer for heterojunction solar cells 期刊论文  OAI收割 journal of polymer science part a-polymer chemistry, 2012, 卷号: 50, 期号: 9, 页码: 1663-1671 Li YX; Pan Z; Fu YY; Chen Y; Xie ZY; Zhang B 收藏  |  浏览/下载：23/0  |  提交时间：2013/05/22 NONVOLATILE REWRITABLE MEMORY  DONOR-ACCEPTOR HETEROJUNCTIONS  PHOTOVOLTAIC CELLS  EFFICIENT  FLUORENE  DEVICES  UNITS   A 2.4-ghz energy-efficient transmitter for wireless medical applications 期刊论文  iSwitch采集 Ieee transactions on biomedical circuits and systems, 2011, 卷号: 5, 期号: 1, 页码: 39-47 作者:  Zhang, Qi;  Feng, Peng;  Geng, Zhiqing;  Yan, Xiaozhou;  Wu, Nanjian 收藏  |  浏览/下载：30/0  |  提交时间：2019/05/12 Autocalibration  Energy efficient  Frequency presetting technique  Nonvolatile memory (nvm)   A 2.4-GHz Energy-Efficient Transmitter for Wireless Medical Applications 期刊论文  OAI收割 ieee transactions on biomedical circuits and systems, IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2011, 2011, 卷号: 5, 5, 期号: 1, 页码: 39-47, 39-47 作者:  Zhang Q;  Feng P;  Geng ZQ;  Yan XZ;  Wu NJ   |  收藏  |  浏览/下载：112/7  |  提交时间：2011/07/05 Autocalibration  energy efficient  frequency presetting technique  nonvolatile memory (NVM)  BFSK TRANSMITTER  CMOS  TRANSCEIVER  Autocalibration  Energy Efficient  Frequency Presetting Technique  Nonvolatile Memory (Nvm)  Bfsk Transmitter  Cmos  Transceiver   SoC test data compression technique based on RLE-G (EI CONFERENCE) 会议论文  OAI收割 2010 International Conference on Advanced Measurement and Test, AMT 2010, May 15, 2010 - May 16, 2010, Sanya, China 作者:  Liu W.;  Yang L.;  Yang L.;  Zheng X. 收藏  |  浏览/下载：34/0  |  提交时间：2013/03/25 Test data compression has been an effective way to reduce test data volume and test time  as well as to solve automatic test equipment (ATE) memory and bandwidth limitation. We analyze the limitations of current test data compression algorithm and draw on the previous experience to deduce an optimal compression coding model suitable for SoC test data. In addition  in this paper we make full use of the relevance of the test vectors and the advantages of statistical coding to present an efficient test data compression method RLE-G based on the coding model  and give the RLE-G the optimal compression efficiency of the boundary conditions and realization steps. The experimental results for ISCAS 89 benchmark circuits demonstrate RLE-G have the excellent advantages of high compression ratio. (2010) Trans Tech Publications.   Image parallel processing based on GPU (EI CONFERENCE) 会议论文  OAI收割 2010 IEEE International Conference on Advanced Computer Control, ICACC 2010, March 27, 2010 - March 29, 2010, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States 作者:  Wang J.-L.;  Wang J.-L. 收藏  |  浏览/下载：31/0  |  提交时间：2013/03/25 In order to solve the compute-intensive character of image processing  based on advantages of GPU parallel operation  parallel acceleration processing technique is proposed for image. First  efficient architecture of GPU is introduced that improves computational efficiency  comparing with CPU. Then  Sobel edge detector and homomorphic filtering  two representative image processing algorithms  are embedded into GPU to validate the technique. Finally  tested image data of different resolutions are used on CPU and GPU hardware platform to compare computational efficiency of GPU and CPU. Experimental results indicate that if data transfer time  between host memory and device memory  is taken into account  speed of the two algorithms implemented on GPU can be improved approximately 25 times and 49 times as fast as CPU  respectively  and GPU is practical for image processing. 2010 IEEE.