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PROCESSOR: 作品数：218被引量：245H指数：6; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：郭巍孙永佳肖遥詹瑜坤张麒麟更多>>; 相关机构：清华大学北京航空航天大学中北大学浙江工业大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划国家高技术研究发展计划中国博士后科学基金更多>>

Towards optimized tensor code generation for deep learning on sunway many-core processor: 《Frontiers of Computer Science》2024年第2期1-15,共15页Mingzhen LI Changxi LIU Jianjin LIAO Xuegui ZHENG Hailong YANG Rujun SUN Jun XU Lin GAN Guangwen YANG Zhongzhi LUAN Depei QIAN; supported by the National Key Research and Development Program of China (No.2020YFB1506703);the National Natural Science Foundation of China (Grant Nos.62072018 and 61732002);the State Key Laboratory of Software Development Environment (No.SKLSDE-2021ZX-06);the Fundamental Research Funds for the Central Universities。; The flourish of deep learning frameworks and hardware platforms has been demanding an efficient compiler that can shield the diversity in both software and hardware in order to provide application portability.Among th...; 关键词：sunway processor deep learning compiler code generation performance optimization

Energy Efficient Hyperparameter Tuned Deep Neural Network to Improve Accuracy of Near-Threshold Processor: 《Intelligent Automation & Soft Computing》2023年第7期471-489,共19页K.Chanthirasekaran Raghu Gundaala; When it comes to decreasing margins and increasing energy effi-ciency in near-threshold and sub-threshold processors,timing error resilience may be viewed as a potentially lucrative alternative to examine.On the other...; 关键词：Deep learning hyperparameter tuning artificial intelligence near-threshold processor embedded system

Insulation condition forewarning of form-wound winding for electric aircraft propulsion based on partial discharge and deep learning neural network被引量：1: 《High Voltage》2021年第2期302-313,共12页Yalin Wang Jiandong Wu Tao Han Kiruba Haran Yi Yin; China Postdoctoral Science Foundation,Grant/Award Number:2018M642016。; Form-wound windings in electric machines designed for electric aircraft propulsion face reliability challenges due to the severe operating environment,such as high temperature and low pressure.This study proposes a fo...; 关键词：network PROCESSOR NEURAL

Parallel design of convolutional neural networks for remote sensing images object recognition based on data-driven array processor被引量：3: 《The Journal of China Universities of Posts and Telecommunications》2020年第6期87-100,共14页Shan Rui Jiang Lin Deng Junyong Cui Pengfei Zhang Yuting Wu Haoyue Xie Xiaoyan; This work was supported by the National Natural Science Foundation of China(61802304,61834005,61772417,61634004,61602377);the Shaanxi Provincial Co-ordination Innovation Project of Science and Technology(20I6KTZDGY02-04-02);the Shaanxi Provincial Key Research and Development Plan(2017GY-060).; Object recognition in very high-resolution remote sensing images is a basic problem in the field of aerial and satellite image analysis.With the development of sensor technology and aerospace remote sensing technology...; 关键词：convolutional NEURAL networks REMOTE sensing images OBJECT recognition array PROCESSOR DATA-DRIVEN

贝克曼库尔特Power Processor实验室自动化流水线的应用被引量：2: 《口岸卫生控制》2019年第3期5-7,共3页王玮; 景德镇市科技计划项目:贝克曼库尔特Power Processor实验室自动化流水线的应用,编号:20182SFZC082; 伴随信息系统的不断完善,自动化分析仪器在实验室流水线上得到广泛运用,贝克曼库尔特Power Processor的运用,促进流水线自动化程度的提升,并在流水线作业中的样品检测、故障排查等环节发挥重要作用,接下来本文针对'贝克曼库尔特Power Pr...; 关键词：贝克曼库尔特 POWER PROCESSOR 实验室自动化流水线运用

Energy-efficient reconfigurable AI processor: 《Journal of Semiconductors》2019年第5期5-5,共1页Nanjian Wu; High computational energy-efficiency and rapid real-timeresponse are the major concerns for applications of artificial intelligencein low-power mobile and Internet of Things deviceswith limited storage capacity. Due t...; 关键词：ENERGY-EFFICIENT RECONFIGURABLE AI

六轴陀螺仪姿态解算研究被引量：2: 《电脑知识与技术》2018年第1X期243-244,256,共3页马陟昶王勤湧郭张乐范鹏宇项畅清; 六轴陀螺仪是三轴陀螺仪与三轴加速计的合称,它是在三轴陀螺仪这个传感器的基础上增加上三轴加速器这个元器件。由于六轴陀螺仪收集的加速度、角速度等数据会受到噪声信号的影响,所以要对这些收集到的数据进行滤波处理。在众多的滤波方...; 关键词：六轴陀螺仪一阶互补滤波卡尔曼滤波 DMP(Digital Motion Processor)

Flatness predictive model based on T-S cloud reasoning network implemented by DSP被引量：4: 《Journal of Central South University》2017年第10期2222-2230,共9页ZHANG Xiu-ling GAO Wu-yang LAI Yong-jin CHENG Yan-tao; Project(E2015203354)supported by Natural Science Foundation of Steel United Research Fund of Hebei Province,China;Project(ZD2016100)supported by the Science and the Technology Research Key Project of High School of Hebei Province,China;Project(LJRC013)supported by the University Innovation Team of Hebei Province Leading Talent Cultivation,China;Project(16LGY015)supported by the Basic Research Special Breeding of Yanshan University,China; The accuracy of present flatness predictive method is limited and it just belongs to software simulation. In order to improve it, a novel flatness predictive model via T-S cloud reasoning network implemented by digita...; 关键词：T-S CLOUD reasoning neural NETWORK CLOUD MODEL FLATNESS predictive MODEL hardware implementation digital signal PROCESSOR genetic ALGORITHM and simulated annealing ALGORITHM (GA-SA)

Steering control for underwater gliders被引量：1: 《Frontiers of Information Technology & Electronic Engineering》2017年第7期898-914,共17页You LIU Qing SHEN Dong-li MA Xiang-jiang YUAN; supported by Beihang University and Institution of China Academy of Aerospace Aerodynamics; Steering control for an autonomous underwater glider （AUG） is very challenging due to its changing dynamic char- acteristics such as payload and shape. A good choice to solve this problem is online system identifica...; 关键词：Autonomous underwater glider （AUG） Online system identification Steering control Adaptive control OPTIMALCONTROL Energy saving control Processor-in-loop （PIL）

Image Acquisition Method Based on TMS320DM642: 《Journal of Computer and Communications》2017年第5期119-124,共6页Li Liu Yining Liu; In order to achieve high-speed, real-time and accurate, an image acquisition method based on digital signal processor (DSP) TMS320DM642 is proposed for the paper currency image acquisition [1]. System will be high spe...; 关键词：Digital Signal PROCESSOR (DSP) Image ACQUISITION System CIS Sensor Complex PROGRAMMABLE LOGIC Device (CPLD) Work Time-Sequence PROGRAMMABLE LOGIC

PROCESSOR