| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 495090 | Applied Soft Computing | 2015 | 10 Pages |
Abstract
- This paper proposes a fast algorithm for training image filter using GPU.
- Parallelization of genetic algorithms is realized by master-slave method.
- Sub-image based (SBM) method is proposed to use the GPU efficiently.
- SBM is developed by discussing other alternative design considerations.
- Experimental results show about 50Ã to 90Ã acceleration using GeForce GTX 660.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Devrim Akgün, Pakize ErdoÄmuÅ,