Implementation of SAM and MF Algorithms with Multi-Core Programming

Pekturk, Mustafa Kemal; Ozuzun, Yilmaz; Ozsancaktar, Oguz

doi:10.1109/rast.2019.8767831

Cited by 2 publications

(1 citation statement)

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“…M.K. Pekturk et al [20] developed a spectral angle mapper and matched filter algorithm using OpenMP programming model for online remote sensing applications. The experimental result reveals that 3-4 times & 16-19 times improvement for offline and online data processing.…”

Section: Related Workmentioning

confidence: 99%

An Application based Efficient Thread Level Parallelism Scheme on Heterogeneous Multicore Embedded System for Real Time Image Processing.

Indragandhi

Jawahar

2020

SCPE

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The recent advent of the embedded devices is equipped with multicore processor as it significantly improves the system performance. In order to utilize all the core in multicore processor in an efficient manner, application programs need to be parallelized. An efficient thread level parallelism (ETLP) scheme is proposed in this paper and uses computationally intensive edge detection algorithm for evaluation. Edge detection is the important process in various real time applications namely vehicle detection in traffic control, medical image processing etc. The main objective of ETLP scheme is to reduce the execution time and increase the CPU core utilization. The performance of ETLP scheme is evaluated with basic edge detection scheme (BEDS) for different image size. The experimental results reveal that the proposed ETLP scheme achieves efficiency of 49% and 72% for the image size 300 × 256 and 1024 × 1024 respectively. Furthermore an ETLP scheme reducing 66% execution time for image size 1024 × 1024 when compared with BEDS.

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Section: Related Workmentioning

confidence: 99%