Name
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1177/1094342014567907 | International Journal of High Performance Computing Applications |
Keywords | Field | DocType |
Impulsive noise, Gaussian noise, image restoration, image filtering, GPGPUs, parallel patterns, skeletons, structured parallel programming, iterative stencil, stencil-reduce, MapReduce | Computer science,Parallel computing,Stencil,Theoretical computer science,Software,Image restoration,Data restoration,Multi-core processor,Gaussian noise | Journal |
Volume | Issue | ISSN |
29 | 4 | 1094-3420 |
Citations | PageRank | References |
9 | 0.73 | 17 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marco Aldinucci | 1 | 638 | 59.87 |
| Guilherme Peretti Pezzi | 2 | 21 | 2.79 |
| Maurizio Drocco | 3 | 88 | 12.09 |
| Concetto Spampinato | 4 | 521 | 58.13 |
| Massimo Torquati | 5 | 433 | 46.72 |