Parallel of low-level computer vision algorithms on a multi-DSP system

被引：0

作者：

Liu, Huaida ^{[1
]}

Jia, Pingui ^{[1
]}

Li, Lijian ^{[2
]}

Yang, Yiping ^{[1
]}

机构：

[1] Chinese Acad Sci, Res Ctr Integrated Informat Syst, Inst Automat, Beijing, Peoples R China

[2] Chinese Acad Sci, Natl Engn & Technol Res Ctr ASIC Design, Inst Automat, Beijing, Peoples R China

来源：

THIRD INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2011) | 2011年 / 8009卷

关键词：

Parallel architecture; Computer vision; Image processing; Parallel DSP;

D O I：

10.1117/12.896265

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Parallel hardware becomes a commonly used approach to satisfy the intensive computation demands of computer vision systems. A multiprocessor architecture based on hypercube interconnecting digital signal processors (DSPs) is described to exploit the temporal and spatial parallelism. This paper presents a parallel implementation of low level vision algorithms designed on multi-DSP system. The convolution operation has been parallelized by using redundant boundary partitioning. Performance of the parallel convolution operation is investigated by varying the image size, mask size and the number of processors. Experimental results show that the speedup is close to the ideal value. However, it can be found that the loading imbalance of processor can significantly affect the computation time and speedup of the multi-DSP system.

引用

页数：6

共 50 条

[1] Design of parallel algorithms for the multi-DSP system based on the ring network
[J]. 2000, Sci Press (37):
[2] PARALLEL ALGORITHMS FOR LOW-LEVEL VISION ON THE HOMOGENEOUS MULTIPROCESSOR
DANTU, RV
DIMOPOULOS, NJ
LI, KF
PATEL, RV
ALKHALILI, AJ
[J]. COMPUTERS & ELECTRICAL ENGINEERING, 1994, 20 (01) : 51 - 60
[3] Parallel image understanding on a multi-DSP system
Ercan, M. Fikret
[J]. Computational Science and Its Applications - ICCSA 2007, Pt 2, Proceedings, 2007, 4706 : 1 - 12
[4] Performance benchmark of DSP and FPGA implementations of low-level vision algorithms
Baumgartner, Daniel
Roessler, Peter
Kubinger, Wilfried
[J]. 2007 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-8, 2007, : 3219 - +
[5] FAST ALGORITHMS FOR LOW-LEVEL VISION
DERICHE, R
[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1990, 12 (01) : 78 - 87
[6] EFFICIENT PARALLEL NONLINEAR MULTIGRID RELAXATION ALGORITHMS FOR LOW-LEVEL VISION APPLICATIONS
MEMIN, E
HEITZ, F
CHAROT, F
[J]. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 1995, 29 (01) : 96 - 103
[7] Parallel RX algorithm implementation based on the FPGA and multi-DSP system
[J]. Zhao, B. (zbw8200980@163.com), 1600, Science Press (41):
[8] Survey of Vision Transformer in Low-Level Computer Vision
Zhu, Kai
Li, Li
Zhang, Tong
Jiang, Sheng
Bie, Yiming
[J]. Computer Engineering and Applications, 2024, 60 (04) : 39 - 56
[9] Implementation of parallel signal processing system based on FPGA and multi-DSP
School of Micro-electronic, Shanghai Jiaotong University, Shanghai 200030, China
不详
[J]. Jisuanji Gongcheng, 2006, 23 (247-249):
[10] Research on software radio model and trial-platform based on multi-DSP parallel algorithms
Chen, W
Yao, TR
[J]. DCABES 2001 PROCEEDINGS, 2001, : 126 - 130

← 1 2 3 4 5 →