ff:video:hlpgpu:14 (In proceedings)
|
Author(s) | Marco Aldinucci, Guilherme Peretti Pezzi, Maurizio Drocco, Fabio Tordini, Peter Kilpatrick and Massimo Torquati |
Title | « Parallel video denoising on heterogeneous platforms » |
In | Proc. of Intl. Workshop on High-level Programming for Heterogeneous and Hierarchical Parallel Systems (HLPGPU) |
Year | 2014 |
URL | http://calvados.di.unipi.it/storage/paper_files/2014_ff_video_denoiser_hlpgpu.pdf |
Abstract & Keywords |
In this paper, a highly-effective parallel filter for video denoising is presented. The filter is designed using a skeletal approach, and has been implemented by way of the FastFlow parallel programming library. As a result of its high-level design, it is possible to run the filter seamlessly on a multi-core machine, on GPGPU(s), or on both. The design and the implementation of the filter are discussed, and an experimental evaluation is presented. Various mappings of the filtering stages are comparatively discussed.
Keywords: fastflow
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@inproceedings{ff:video:hlpgpu:14,
keywords = {fastflow},
booktitle = {Proc. of Intl. Workshop on High-level Programming for
Heterogeneous and Hierarchical Parallel Systems (HLPGPU)},
url = {http://calvados.di.unipi.it/storage/paper_files/2014_ff_video_denoiser_hlpgpu.pdf},
title = {Parallel video denoising on heterogeneous platforms},
author = {Marco Aldinucci and Guilherme {Peretti Pezzi} and Maurizio Drocco
and Fabio Tordini and Peter Kilpatrick and Massimo Torquati},
abstract = {In this paper, a highly-effective parallel filter for video
denoising is presented. The filter is designed using a skeletal
approach, and has been implemented by way of the FastFlow parallel
programming library. As a result of its high-level design, it is
possible to run the filter seamlessly on a multi-core machine, on
GPGPU(s), or on both. The design and the implementation of the
filter are discussed, and an experimental evaluation is presented.
Various mappings of the filtering stages are comparatively
discussed.},
year = {2014},
}
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