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

被引：11

作者：

Aldinucci, Marco ^{[1
]}

Pezzi, Guilherme Peretti ^{[1
]}

Drocco, Maurizio ^{[1
]}

Spampinato, Concetto ^{[2
]}

Torquati, Massimo ^{[3
]}

机构：

[1] Univ Turin, Dept Comp Sci, I-10149 Turin, Italy

[2] Univ Catania, Dept Elect Elect & Comp Engn, I-95124 Catania, Italy

[3] Univ Pisa, Dept Comp Sci, I-56100 Pisa, Italy

来源：

INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS | 2015年 / 29卷 / 04期

关键词：

Impulsive noise; Gaussian noise; image restoration; image filtering; GPGPUs; parallel patterns; skeletons; structured parallel programming; iterative stencil; stencil-reduce; MapReduce; NOISE REMOVAL; CORE;

D O I：

10.1177/1094342014567907

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：461 / 472

页数：12

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