DocumentCode :
1815122
Title :
Coarse grain mapping method for image processing on fine grain cellular processor arrays
Author :
Wang, Bin ; Dudek, Piotr
Author_Institution :
Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK
fYear :
2012
fDate :
29-31 Aug. 2012
Firstpage :
1
Lastpage :
6
Abstract :
This paper introduces a mapping method for adding a coarse grain (multiple pixels per processor) processing mode to massively parallel cellular processor arrays. The main motivation is to provide the fine grain pixel-parallel processor array with the ability of processing images with higher resolution than the array itself, in a way that is transparent to the programmer. The proposed method accomplishes the mapping work entirely during the code compilation process, which has four main advantages. Firstly, there is no extra overhead during processing. Secondly, the source code for fine grain mode can be used in coarse grain mode without modification. Thirdly, the proposed method does not introduce any restrictions of the number of pixels stored in a processing element. Finally, the proposed method is easy to implement, as it does not require any modifications to the hardware design of the pixel-parallel processor array or its controller, but only to the software compiler. The mapping method and its software implementation are presented in this paper.
Keywords :
cellular arrays; image resolution; parallel processing; program compilers; coarse grain mapping method; code compilation process; fine grain cellular processor array; fine grain mode; fine grain pixel-parallel processor array; hardware design; image processing; image resolution; massively parallel cellular processor array; software compiler; software implementation; source code; Detectors; Hardware; Image edge detection; Image resolution; Parallel processing; Registers; Software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Nanoscale Networks and Their Applications (CNNA), 2012 13th International Workshop on
Conference_Location :
Turin
ISSN :
2165-0160
Print_ISBN :
978-1-4673-0287-6
Type :
conf
DOI :
10.1109/CNNA.2012.6331421
Filename :
6331421
Link To Document :
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