Treffer: Parallel Visual Data Restoration on Multi-GPGPUs using Stencil-Reduce Pattern
Title:
Parallel Visual Data Restoration on Multi-GPGPUs using Stencil-Reduce Pattern
Authors:
Contributors:
Aldinucci, Marco, Peretti Pezzi, Guilherme, Drocco, Maurizio, Spampinato, Concetto, Torquati, Massimo
Publication Year:
2015
Collection:
Università degli studi di Torino: AperTo (Archivio Istituzionale ad Accesso Aperto)
Subject Terms:
Document Type:
Fachzeitschrift
article in journal/newspaper
Language:
English
Relation:
info:eu-repo/semantics/altIdentifier/wos/WOS:000362996700005; firstpage:1; lastpage:12; numberofpages:12; journal:INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS; http://hdl.handle.net/2318/1522073; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84944315992; http://dx.doi.org/10.1177/1094342014567907
DOI:
10.1177/1094342014567907
Rights:
info:eu-repo/semantics/openAccess
Accession Number:
edsbas.DEEAB1B7
Database:
BASE
Weitere Informationen
In this paper, a highly effective parallel filter for visual data restoration is presented. The filter is designed following a skeletal approach, using a newly proposed stencil-reduce, 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 multicore machine, on multi-GPGPUs, or on both. The design and implementation of the filter are discussed, and an experimental evaluation is presented.