estellapaula / parallel-image-processing-with-open-mpi

A program that processes and applies filters (smooth, sharpen, emboss, mean removal, approximate Gaussian Blur) on images in parallel by using Open MPI.

Image processing using Open MPI

Filters will be applied depending on the number of processes:   - one process: the "root" process will read the binary file received as     input and will apply the respective matrix to the received filters as an argument     for each pixel; the "root" process will write the resulting image to     output file;

  - for several processes: the "root" process will read the received binary file     as an input and will send the pixel array to all processes; every     process (including the "root" process) will apply the respective matrix to the filters     received as an argument on the pixels of a number N of lines in the matrix of     pixels: N = number of lines / number of processes     if the partition is not exact, the "root" process will handle     the rest of the lines; the "root" process will receive the rest of the image from the others     processes and writes the resulting image to the output file;

Computer specifications:

Architecture: x86_64 CPU op-mode (s): 32-bit, 64-bit Byte Order: Little Endian CPU (s): 4 Online CPU (s) list: 0-3 Thread (s) per core: 2 Core (s) per socket: 2 Socket (s): 1 (Linux subsystem)

Execution time (s):

Image: landscape.pgm (325 KB) no. process -> 1 2 3 4 5 6 7 8 applied filters \ / smooth 0.875 0.76 0.698 0.656 0.535 0.512 0.486 0.442

bssembssem 0.918 0.854 0.767 0.709 0.638 0.595 0.5058 0.472

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Image: rorschach.pgm (7526 KB) no. process -> 1 2 3 4 5 6 7 8 applied filters \ / smooth 1,741 1,680 1,634 1,616 1,442 1,141 1,373 1,279

bssembssem 4.733 4.268 3.97 3.622 3.48 3.370 2.977 2.696

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Image: scroll-of-truth.pnm (756 KB) no. process -> 1 2 3 4 5 6 7 8 applied filters \ / smooth 0.832 0.779 0.697 0.664 0.613 0.542 0.527 0.451

bssembssem 1,227 1,088 0.972 0.917 0.811 0.775 0.691 0.622

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Image: landscape.pnm (24301 KB)

smooth 4.449 4.297 4.226 4.145 4.011 3.901 3.481 3.34

bssembssem 12.93 12.44 12.011 12.004 11.705 11.683 11.339 10.801