ff:gtc:2014 (In proceedings)
|
Author(s) | Marco Aldinucci, Massimo Torquati, Maurizio Drocco, Guilherme Peretti Pezzi and Concetto Spampinato |
Title | « FastFlow: Combining Pattern-Level Abstraction and Efficiency in GPGPUs » |
In | GPU Technology Conference (GTC 2014) |
Year | 2014 |
Address | San Jose, CA, USA |
URL | http://calvados.di.unipi.it/storage/talks/2014_S4729-Marco-Aldinucci.pdf |
Abstract & Keywords |
Learn how FastFlow's parallel patterns can be used to design parallel applications for execution on both CPUs and GPGPUs while avoiding most of the complex low-level detail needed to make them efficient, portable and rapid to prototype. As use case, we will show the design and effectiveness of a novel universal image filtering template based on the variational approach.
Keywords: fastflow, gpu
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@inproceedings{ff:gtc:2014,
month = mar,
author = {Marco Aldinucci and Massimo Torquati and Maurizio Drocco and
Guilherme {Peretti Pezzi} and Concetto Spampinato},
keywords = {fastflow, gpu},
booktitle = {GPU Technology Conference (GTC 2014)},
url = {http://calvados.di.unipi.it/storage/talks/2014_S4729-Marco-Aldinucci.pdf},
title = {FastFlow: Combining Pattern-Level Abstraction and Efficiency in
{GPGPUs}},
address = {San Jose, CA, USA},
abstract = {Learn how FastFlow's parallel patterns can be used to design
parallel applications for execution on both CPUs and GPGPUs while
avoiding most of the complex low-level detail needed to make them
efficient, portable and rapid to prototype. As use case, we will
show the design and effectiveness of a novel universal image
filtering template based on the variational approach.},
year = {2014},
}
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