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→Image Processing Performance Using Parallel Programming
{{GPU621/DPS921 Index | 20161}}
= 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 ==
[[Image:GPU621-LION-2.png|640px]]
[[Image:GPU621-LION-3.png|640px]]
[[Image:GPU621-LION-4.png|640px|Edge Handling(Extend)]]
== 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.
[[Image:GPU621-LION-6-2.png|640px|Edge Handling(Extend)]]
[[Image:GPU621-LION-6.png|640px|Edge Handling(Extend)]]
== Test Result ==
[[Image:GPU621-LION-5.png|640px|Edge Handling(Extend)]]
[[Image:GPU621-LION-7.png|640px|Edge Handling(Extend)]]
[[Image:GPU621-LION-8.png|640px|Edge Handling(Extend)]]
== Conclusion ==
*Performance depends on number of cores.
*OpenMP is easy to use. Much easier than normal(POSIX) Thread method.
== Source Code ==
