Geodesic
MALT manycore processors capabilities in image processing tasks
Numerical methods and programming, Tome 21 (2020) no. 2, pp. 187-195.

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In this paper we consider the experimental performance and energy efficiency evaluation in image processing tasks for the MALT manycore processors. The image filtering with the Sobel operator is used as an example. Measurements are conducted using the MALTemu low level emulator, an FPGA processor prototype and an experimental ASIC model MALT-Cv2 Rev1. The obtained results are compared with similar results for a general purpose CPU (sequential implementation) and a GPU with the CUDA technology support.
Keywords: manycore processor; parallel computing; image processing; Sobel operator; performance; energy efficiency; MALT; CUDA. 
@article{VMP_2020_21_2_a6,
     author = {N. G. Mikheev and V. A. Antonyuk and S. G. Elizarov and G. A. Lukyanchenko},
     title = {MALT manycore processors capabilities in image processing tasks},
     journal = {Numerical methods and programming},
     pages = {187--195},
     publisher = {mathdoc},
     volume = {21},
     number = {2},
     year = {2020},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VMP_2020_21_2_a6/}
}
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N. G. Mikheev; V. A. Antonyuk; S. G. Elizarov; G. A. Lukyanchenko. MALT manycore processors capabilities in image processing tasks. Numerical methods and programming, Tome 21 (2020) no. 2, pp. 187-195. http://geodesic.mathdoc.fr/item/VMP_2020_21_2_a6/