中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
过程工程研究所 [2]
自动化研究所 [2]
力学研究所 [1]
地质与地球物理研究所 [1]
计算技术研究所 [1]
长春光学精密机械与物... [1]
更多
采集方式
OAI收割 [10]
内容类型
期刊论文 [7]
会议论文 [2]
学位论文 [1]
发表日期
2024 [1]
2023 [1]
2020 [1]
2019 [1]
2018 [1]
2017 [1]
更多
学科主题
筛选
浏览/检索结果:
共10条,第1-10条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
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
Parallel Static Learning Toward Heterogeneous Computing Architectures
期刊论文
OAI收割
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 3, 页码: 983-993
作者:
Lin, Xiaoze
;
Lai, Liyang
;
Li, Huawei
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/12/06
Automatic test pattern generation (ATPG)
graphics processing unit (GPU)
multicore CPU
parallel acceleration
static learning
An incompressible flow solver on a GPU/CPU heterogeneous architecture parallel computing platform
期刊论文
OAI收割
THEORETICAL AND APPLIED MECHANICS LETTERS, 2023, 卷号: 13, 期号: 5, 页码: 100474
作者:
Li QQ(李千千)
;
Li R(李荣)
;
Yang ZX(杨子轩)
;
Li R(李荣)
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2024/01/15
GPU Acceleration
Parallel computing
Poisson equation
Preconditioner
GPU-accelerated transient lattice Boltzmann simulation of bubble column reactors
期刊论文
OAI收割
CHEMICAL ENGINEERING SCIENCE, 2020, 卷号: 214, 页码: 10
作者:
Shu, Shuli
;
Zhang, Jingchang
;
Yang, Ning
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2020/05/21
Transient simulation
GPU acceleration
Multiphase flow
Lattice Boltzmann Method
Bubble column reactor
GPU acceleration design method for driver's seatbelt detection
会议论文
OAI收割
Changsha, China, November 1-3, 2019
作者:
Jing, Yongquan
;
Wu TS(吴天舒)
;
Li, Jin
;
Zhang ZJ(张志佳)
;
Gao, Chao
  |  
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2020/06/21
GPU acceleration
seatbelt detection
SSD
YOLO1
GPU-accelerated large eddy simulation of stirred tanks
期刊论文
OAI收割
CHEMICAL ENGINEERING SCIENCE, 2018, 卷号: 181, 页码: 132-145
作者:
Shu, Shuli
;
Yang, Ning
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2018/07/06
Stirred Tank
Lbm
Large Eddy Simulation
Gpu Acceleration
The acceleration strategy of a simplified hybrid domain full waveform inversion on multi-GPUs
期刊论文
OAI收割
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2017, 卷号: 60, 期号: 2, 页码: 665-677
作者:
Gui Sheng
;
Liu Hong
;
Zhang Yu-Jie
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2017/11/16
Full Waveform Inversion
Hybrid Domain
3d-model
Large-scale
Multi-gpu Acceleration
Free Energy Simulations with the AMOEBA Polarizable Force Field and Metadynamics on GPU Platform
期刊论文
OAI收割
JOURNAL OF COMPUTATIONAL CHEMISTRY, 2016, 卷号: 37, 期号: 6, 页码: 614-622
作者:
Zhang, Yuebin
;
Li, Guohui
;
Peng, Xiangda
;
Chu, Huiying
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2019/06/20
Amoeba Polarizable Force Field
Metadynamics
Gpu Acceleration
Free Energy Simulations
Openmm
Plumed
Alanine Dipeptide
Water Simulation
High-Performance Video Condensation System
期刊论文
OAI收割
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2015, 卷号: 25, 期号: 7, 页码: 1113-1124
作者:
Zhu, Jianqing
;
Feng, Shikun
;
Yi, Dong
;
Liao, Shengcai
;
Lei, Zhen
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2015/09/23
GPU acceleration
moving object segmentation
online background generation
video condensation system
video storage
video surveillance
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.
三维计算机断层成像快速重建算法研究及实现
学位论文
OAI收割
工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2009
闫国瑞
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2015/09/02
计算机断层成像
图形处理器
重建
加速
computed tomography
GPU
reconstruction
acceleration