Η εξαγωγή ολοκληρώθηκε — 

FPS performance profiling for multiple computational architectures using the DCP dehazing algorithm

 

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφείς: Navarro-Brenes, Allan Francisco, Chavarría-Zamora, Luis Alberto
Μορφή: artículo original
Κατάσταση:Versión publicada
Ημερομηνία έκδοσης:2022
Περιγραφή:In this document we present a benchmark to evaluate the performance of different platforms in the execution of a dehazing algorithm based on the Dark Channel Prior (DCP) [1]. The parameter used for the evaluation was the number of frames per second (FPS) that the device was able to process. This tool allows to determine which architectures can execute the algorithm in real time. The testing environment was executing in four platforms, a Google Pixel 3a, a Raspberry Pi 3B+, a GPU by NVIDIA, and an Intel x86 processor. The following software development kits (SDK’s) where used for each of the platforms: Android NDK, Yocto Poky, CUDA, and the GCC toolchain. The tool allowed us to collect, for each platform, the FPS for different image sizes, these results allow the selection of an ideal architecture depending on a specific application (e.g., low power, HPC). The testing environment was executing in four platforms, a Google Pixel 3a, a Raspberry Pi 3B+, a GPU by NVIDIA, and an Intel x86 processor. The following software development kits (SDK’s) where used for each of the platforms: Android NDK, Yocto Poky, CUDA, and the GCC toolchain. The tool allowed us to collect, for each platform, the FPS for different image sizes, these results allow the selection of an ideal architecture depending on a specific application (e.g., low power, HPC).
Χώρα:Portal de Revistas TEC
Ίδρυμα:Instituto Tecnológico de Costa Rica
Repositorio:Portal de Revistas TEC
Γλώσσα:Español
OAI Identifier:oai:ojs.pkp.sfu.ca:article/5718
Διαθέσιμο Online:https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/5718
Λέξη-Κλειδί :FPS Benchmark
Image processing
Real-time processing
Embedded Systems
Computer architecture
Image Dehazing
Image Restoration
Benchmark de FPS
Procesamiento de imágenes
Procesamiento en tiempo real
Sistemas empotrados
Arquitectura de computadores
Reducción de neblina
Restauración de Imagen