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
收藏
页码：461 / 472
页数：12
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