Blur effect

In this project you will find different implementations of blur effect applied to images in several formats, based on Gaussian Kernel. For further interest reffer to the project papaer ( in Spanish )

The directory presents the following structure:

BlurCPU
│ └───Blur
│     └───img
│     └───lib
│     └───src
│     Makefile
│     README.md
│  run_all.sh       # Script to run all test benchs
|  test-bench.sh    # Script to run a single test bench
|  plot.py          # Script de python to make plots
|  plot_seq.py      # Script de python to make plots of sequential version
|  Analysis.ipynb   # python notebook to show how the program works
│
BlurGPU
│ └───Blur
│     └───img
│     └───lib
│     └───src
│  plot_cuda.py # Script to plot the data produced in the GPU execution
Results
│ └───CUDA          # Data and plots for the execution with CUDA
│ └───OMP           # Data and plots for the execution with OMP
│ └───POSIX         # Data and plots for the execution with POSIX
│ └───Sequential    # Data and plots for the execution

Build and run

Each folder has its own Makefile, where there are the necessary steps to make and build the executable. That steps are the following:

make # Build executable
./bin/blur-effect img/favicon.png out/testing.png 3 8 # Execute the program

Make options

make clean # Delete objects folder
make fullclean # Delete objects, bin and other non-esencial folders

Run test bench (CPU)

Perform the test bench for all folders (Sequential, Block, BlockCyclic, Pool)

./run_all.sh

To perfom a test bench for single paradigm, run

# Run Sequential
./test-bench-sequential.sh $IMG_PATH Results/sequential_data.out

# Run Block
./test-bench.sh BlurEffectBlock/bin/blur-effect $IMG_PATH BlurEffectBlock/out Results/block.out

# Run Block-Cyclic
./test-bench.sh BlurEffectBlockCyclic/bin/blur-effect $IMG_PATH BlurEffectBlockCyclic/out Results/cyclic_data.out

# Runs Pool
./test-bench.sh BlurEffectPool/bin/blur-effect $IMG_PATH BlurEffectPool/out Results/pool_data.out

Run test bench (GPU)

For the BlurGPU folder, the test bench is contained in the notebook Blur_effect.ipynb.

Run test bench (MPI)

Execute in the BlurMPI folder:

./run.sh $THREADS $IMG $OUTPUT_FILE $KERNEL

Sample

Here we can observe the original 720px image before applying the filter

Now we can observe the resultating image obtained when applying the Gaussian Kernel with a Kernel of size 7

joacarrilloco / ParallelComputingLabs