Parallel visual data restoration on multi-GPGPUs using stencil-reduce pattern. (November 2015)

• Record Type: Journal Article
• Authors: Aldinucci, Marco; Pezzi, Guilherme Peretti; Drocco, Maurizio; Spampinato, Concetto; Torquati, Massimo
• Is Part Of: International journal of high performance computing applications. Volume 29:Number 4(2015:Winter)
• Page Start: 461
• Page End: 472
• Publication Date: 2015-11
• Subjects: Impulsive noise -- Gaussian noise -- image restoration -- image filtering -- GPGPUs -- parallel patterns -- skeletons -- structured parallel programming -- iterative stencil -- stencil-reduce -- MapReduce; High performance computing -- Periodicals; Supercomputers -- Periodicals; 004.1105
• DOI: 10.1177/1094342014567907
• Languages: English
• ISSNs: 1094-3420

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.