中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
力学研究所 [1]
计算技术研究所 [1]
长春光学精密机械与物... [1]
西安光学精密机械研究... [1]
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OAI收割 [4]
内容类型
会议论文 [2]
期刊论文 [2]
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2022 [1]
2016 [1]
2014 [1]
2010 [1]
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NetSHa: In-Network Acceleration of LSH-Based Distributed Search
期刊论文
OAI收割
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2022, 卷号: 33, 期号: 9, 页码: 2213-2229
作者:
Zhang, Penghao
;
Pan, Heng
;
Li, Zhenyu
;
Cui, Penglai
;
Jia, Ru
  |  
收藏
  |  
浏览/下载:58/0
  |  
提交时间:2022/12/07
Servers
Indexes
Costs
Task analysis
Hash functions
Concurrent computing
Aggregates
Local sensitive hashing
distributed search
in-network computation
Cascade Learning by Optimally Partitioning
期刊论文
OAI收割
ieee transactions on cybernetics, 2016, 期号: 99
作者:
Pang, Yanwei
;
Cao, Jiale
;
Li, Xuelong
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2016/10/31
Adaptive boosting
Classification (of information)
Computation theory
Costs
Face recognition
Iterative methods
Object detection
Object recognition
Optimal systems
Three-dimensional aeroacoustic numerical simulation of flow induced noise of mufflers
会议论文
OAI收割
26th International Conference on Parallel Computational Fluid Dynamics, ParCFD 2013, Changsha, China, May 20, 2013 - May 24, 2013
作者:
Yang Y(杨焱)
;
Sun HL
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2017/05/27
CFD (computational fluid dynamics)
Computation costs
Computational aeroacoustics (CAA)
Design and optimization
Flow induced noise
Non-linear acoustics
Reynolds-Averaged Navier-Stokes
Three-dimensional numerical simulations
The application of TMS320c64x DSP assembly language in correlation tracking algorithms (EI CONFERENCE)
会议论文
OAI收割
2010 3rd International Congress on Image and Signal Processing, CISP 2010, October 16, 2010 - October 18, 2010, Yantai, China
Huang D.
;
Wu Z.
;
Liang M.
;
Dong Y.
;
Peng T.
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2013/03/25
In order to improve the real-time performance of the conventional correlation tracking algorithm based on full search method
for its huge computation amount and vast correlation matching times in the process of searching an optimal matching position
a method of combining the TMS320C64x DSP assembly language and software pipelining is proposed to realize template matching which costs the most time of the algorithm. Choose high performance DSP chip TMS320DM642 as the core processor of the hardware platform
and schedule each one of the instruction in the algorithm to maximize performance using the instruction-level parallelism of the DSP. The experimental results indicate the time of template image matching implemented in assembly language has decreased from 49.36ms to 0.62ms. It is concluded that the correlation tracking adopting proposed method can meet the real-time and stability requirement of the target tracking. 2010 IEEE.