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Image Processing Performance Using Parallel Programming

This assignment introduces simple image processing using MPI parallel programming. This assignment also explains about performance comparison from 1 core to 16 cores.

Team Lion Member

Byungho Kim

Basic Concept of Image Processing

• Convolution between image and filter(kernel)
• Each processing of pixel independent from another pixels
• Can be used for Edge finding, Blur and image enhancement.

Convolution

Edge Handling

All pixels in edges need special treatment.

• Extend
• Tile
• Crop

False Sharing Consideration

• Threading each pixel – The worst
• Threading each row – Good
• Threading multiple rows band – The best

Test Environment Consideration

• How to test performance more than 4 cores computer.

Azure VM Environment

• Cloud service from Microsoft
• You can rent many kind of Virtual Machines.
• Access remotely using Windows Remote Desktop Connection.

Test Result

Conclusion

• Performance depends on number of cores.
• OpenMP is easy to use. Much easier than normal(POSIX) Thread method.