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Numerical methods and programming, 2020, Volume 21, Issue 2, Pages 187–195
DOI: https://doi.org/10.26089/NumMet.v21r217 (Mi vmp1003) 		 
MALT manycore processors capabilities in image processing tasks

N. G. Mikheev, V. A. Antonyuk, S. G. Elizarov, G. A. Lukyanchenko

Faculty of Physics, Lomonosov Moscow State University
Full-text PDF (488 kB)
DOI: https://doi.org/10.26089/NumMet.v21r217
Abstract: 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.
Received: 01.04.2020
UDC: 519.684.6
Language: Russian
Citation: N. G. Mikheev, V. A. Antonyuk, S. G. Elizarov, G. A. Lukyanchenko, “MALT manycore processors capabilities in image processing tasks”, Num. Meth. Prog., 21:2 (2020), 187–195
Citation in format AMSBIB
\Bibitem{MikAntEli20}
\by N.~G.~Mikheev, V.~A.~Antonyuk, S.~G.~Elizarov, G.~A.~Lukyanchenko
\paper MALT manycore processors capabilities in image processing tasks
\jour Num. Meth. Prog.
\yr 2020
\vol 21
\issue 2
\pages 187--195
\mathnet{http://mi.mathnet.ru/vmp1003}
\crossref{https://doi.org/10.26089/NumMet.v21r217}
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