Capstone Project: Diffusion Simulation with Cuda, MPI

https://github.com/khanhtq2101/ParallelDiffusionSimulation.git
Implementing Gauss Seidel algorithm by parallel programming with cuda and demo visualization.

How to run?

1. CUDA:

   mkdir -p ./results/CUDA

   nvcc -o GaussSeidel_CUDA GaussSeidel.cu  
   ./GaussSeidel_CUDA

The output will be saved on /results/CUDA folder.

2. MPI:

  mkdir -p ./results/MPI

   mpicc -o GaussSeidel_MPI GaussSeidel_MPI.c

  mpirun -np 16 GaussSeidel_MPI

The output will be saved on /results/MPI folder.

3. Display the results:

   python text_to_image.py

   python display.py

   python create_gif.py

4. Results:

Top down visulization: Initialization: 80 at centers and 25 around. Boundary condition: 100 at top right and 0 at bottom left.

Gift display:
Top right visualization: Initialization: 80 at centers and 25 around. Boundary condition: 100 at top down, and 0 at left and right side.