New multi-DSP parallel computing architecture for real-time image processing

Hu, Junhong; Haoyang, Jiang

doi:10.1016/s1004-4132(07)60032-2

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…However, the achieved transfer rate of 11.716 MB/s is rather low due to missing high-speed interfaces. A multi-DSP based image processing system consisting of multiple TI C64xx DSPs connected via Field Programmable Gate Arrays (FPGA) was proposed 2006 in [8]. According to the publication, this system supports message passing assisted by the FPGA and DMA data transfers, unfortunately the publication does not go into software-architectural details.…”

Section: Previous Workmentioning

confidence: 99%

Portable Framework for Real-Time Parallel Image Processing on High Performance Embedded Platforms

Eisserer

2015

2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing

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The trend to efficient, however more complex, multicore designs has also reached the world of Digital Signal Processors (DSP), a field where typically low-level programming has been prevalent. To overcome the additional complexity of programming multi-core and multi-chip DSP systems, we present an object-oriented framework for task-based parallel programming on the highly power efficient Texas Instruments TSMC320C6678 platform. Our framework incorporates hardware architectural details of this platform such as DMA units in a high-level manner, while maintaining portability -guiding the path for algorithmic designers from PCs to embedded DSP platforms. The whole framework has been designed and implemented with real-time requirements and low overhead in mind, which is crucial for the acceptance of higher-level solutions on embedded systems.

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Section: Previous Workmentioning

confidence: 99%

Portable Framework for Real-Time Parallel Image Processing on High Performance Embedded Platforms

Eisserer

2015

2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing

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“…A large number of research (Hu Junhong, Zhang Tianxu, et al, 2009; LUO Ge-liang, LU Xin-ping, LI Ji-cheng., 2010) results emerged in recent years, these studies are either for a specific algorithm (WANG Yu-xin, etc., 2009;Dillinger, P., etc., 2006) of image processing, or for various applications such as video surveillance, medical image (Martin, V., Dunand, G., etc., 2010) processing, etc. Although these are not about photogrammetric algorithms dealing with large-format aerial image, the research of embedded computing technology provides a good way to explore real-time processing method in aerial photogrammetry.…”

Section: Introductionmentioning

confidence: 99%

A real-time photogrammetry system based on embedded architecture

Zheng

Gui

Wang

et al. 2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:In order to meet the demand of real-time spatial data processing and improve the online processing capability of photogrammetric system, a kind of real-time photogrammetry method is proposed in this paper. According to the proposed method, system based on embedded architecture is then designed: using FPGA, ARM+DSP and other embedded computing technology to build specialized hardware operating environment, transplanting and optimizing the existing photogrammetric algorithm to the embedded system, and finally real-time photogrammetric data processing is realized. At last, aerial photogrammetric experiment shows that the method can achieve high-speed and stable on-line processing of photogrammetric data. And the experiment also verifies the feasibility of the proposed real-time photogrammetric system based on embedded architecture. It is the first time to realize real-time aerial photogrammetric system, which can improve the online processing efficiency of photogrammetry to a higher level and broaden the application field of photogrammetry.

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Research on Embedded Parallel System Based on Ethernet

Ying

2012

Advances in Intelligent and Soft Computing

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New multi-DSP parallel computing architecture for real-time image processing

Cited by 4 publications

References 6 publications

Portable Framework for Real-Time Parallel Image Processing on High Performance Embedded Platforms

Portable Framework for Real-Time Parallel Image Processing on High Performance Embedded Platforms

A real-time photogrammetry system based on embedded architecture

Research on Embedded Parallel System Based on Ethernet

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