Parallel visual data restoration on multi-GPGPUs using stencil-reduce pattern-Reference-Cited by-同舟云学术

Parallel visual data restoration on multi-GPGPUs using stencil-reduce pattern

Published:2015-02-17 Issue:4 Volume:29 Page:461-472
ISSN:1094-3420
Container-title:The International Journal of High Performance Computing Applications
language:en
Short-container-title:The International Journal of High Performance Computing Applications

Author:

Aldinucci Marco¹,Pezzi Guilherme Peretti¹,Drocco Maurizio¹,Spampinato Concetto²,Torquati Massimo³

Affiliation:

1. Computer Science Department, University of Torino, Italy

2. Department of Electrical, Electronics and Computer Engineering, University of Catania, Italy

3. Computer Science Department, University of Pisa, Italy

Abstract

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.

Publisher

SAGE Publications

Subject

Hardware and Architecture,Theoretical Computer Science,Software

Link

http://journals.sagepub.com/doi/pdf/10.1177/1094342014567907

Reference34 articles.

1. Accelerating Code on Multi-cores with FastFlow

2. Efficient Smith-Waterman on Multi-core with FastFlow

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