- We implement Gaussian Blur with CUDA
- We used different size image to compare their performance
| Before | After |
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- CPU: Intel(R) Xeon(R) CPU X5670 @ 2.93GHz
- GPU: GEFORCE GTX 1080 Ti
- Filter Matrix size: 53*53
- Multiple threads: 8
- Multiple GPU number: 2
- V3 version sequential implementation
| Filename | Size | Single thread | Multiple threads | Single GPU | Multiple GPU |
|---|---|---|---|---|---|
| iceberg.png | 0.8 MB | 12.6372(s) | 1.44974(s) | 0.528766(s) | 0.204902(s) |
| mountain.png | 1.9 MB | 23.9481(s) | 2.5741(s) | 0.594938(s) | 0.238576(s) |
| bridge.png | 2.1 MB | 35.1401(s) | 3.69399(s) | 0.647862(s) | 0.369114(s) |
| view.png | 2.4 MB | 46.6573(s) | 4.82201(s) | 0.701165(s) | 0.300363(s) |
| candy.png | 13.9 MB | 362.181(s) | 36.6829(s) | 2.43379(s) | 1.1862(s) |
| Time Profile | Speedup Factor |
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| Filename | Size | One GPU | Two GPU |
|---|---|---|---|
| candy.png | 13.9 MB | 2.43379(s) | 1.1862(s) |
| jerry.png | 27.6 MB | 8.07605(s) | 4.20553(s) |
| large-candy.png | 79 MB | 21.5988 (s) | 11.0503 (s) |
| Time Profile | Speedup Factor |
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Our Gaussian Blur implementation is mainly based on the following two website.