A tutorial on the implementations of linear image filters in CPU and GPU

This article presents an overview of the implementation of linear image filters in CPU and GPU. The main goal is to present a self contained discussion of different implementations and their background using tools from digital signal processing. First, using signal processing tools, we discuss diffe...

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Autor principal: Pardo, Álvaro
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2017
Materias:
Ciencias Informáticas
computational cost
Signal processing
Tools
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/63666
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-63666
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
computational cost
Signal processing
Tools
spellingShingle Ciencias Informáticas
computational cost
Signal processing
Tools
Pardo, Álvaro
A tutorial on the implementations of linear image filters in CPU and GPU
topic_facet Ciencias Informáticas
computational cost
Signal processing
Tools
description This article presents an overview of the implementation of linear image filters in CPU and GPU. The main goal is to present a self contained discussion of different implementations and their background using tools from digital signal processing. First, using signal processing tools, we discuss different algorithms and estimate their computational cost. Then, we discuss the implementation of these filters in CPU and GPU. It is very common to find in the literature that GPUs can easity reduce computational times in many algorithms (straightforward implementations). In this work we show that GPU implementations not always reduce the computational time but also not all algorithms are suited for GPUs. We beleive this is a review that can help researchers and students working in this area. Although the experimental results are not meant to show which is the best implementation (in terms of running time), the main results can be extrapolated to CPUs and GPUs of different capabilities.
format Objeto de conferencia
Objeto de conferencia
author Pardo, Álvaro
author_facet Pardo, Álvaro
author_sort Pardo, Álvaro
title A tutorial on the implementations of linear image filters in CPU and GPU
title_short A tutorial on the implementations of linear image filters in CPU and GPU
title_full A tutorial on the implementations of linear image filters in CPU and GPU
title_fullStr A tutorial on the implementations of linear image filters in CPU and GPU
title_full_unstemmed A tutorial on the implementations of linear image filters in CPU and GPU
title_sort tutorial on the implementations of linear image filters in cpu and gpu
publishDate 2017
url http://sedici.unlp.edu.ar/handle/10915/63666
work_keys_str_mv AT pardoalvaro atutorialontheimplementationsoflinearimagefiltersincpuandgpu
AT pardoalvaro tutorialontheimplementationsoflinearimagefiltersincpuandgpu
bdutipo_str Repositorios
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