Geodesic
Efficient face detectionon Epiphany multicore processor
Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ Vyčislitelʹnaâ matematika i informatika, Tome 3 (2014) no. 3, pp. 5-19 Cet article a éte moissonné depuis la source Math-Net.Ru

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It is studied the possibility of usage of energy-efficient Epiphany microprocessor for solving actual applied problem of face detection at still image. The microprocessor is a multicore systemwith distributed memory, implemented in a single chip. Due to small die area the microprocessorhas significant hardware limitations (in particular it has only 32 kilobytes of memory per core)which limit the range of usable algorithms and complicate their software implementation. Commonface-detection algorithm based on local binary patterns (LBP) and cascading classifier was adaptedfor parallel implementation. It is shown that Epiphany microprocessor having 16 cores canoutperform single-core CPU of personal computer having the same clock rate by a factor of 2.5,while consuming only 0.5 watts of electric power.
Keywords: face detection, local binary patterns, parallel data processing, specialized processors, distributed memory. 
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A. A. Sukhinov; G. B. Ostrobrod. Efficient face detectionon Epiphany multicore processor. Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ Vyčislitelʹnaâ matematika i informatika, Tome 3 (2014) no. 3, pp. 5-19. http://geodesic.mathdoc.fr/item/VYURV_2014_3_3_a0/

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