1. Cellular Automata Semester Project for Parallel Computing Group Members: Bibrak Qamar Jahanzeb Maqbool Muhammad Imran Bilawal Sarwar Mehreen Nadeem Mid Defense

2. Project Description We have chosen 'Game of Life' and 'Fish and Shark Problem'. We are using CUDA to implement these simulations as they are not only compute intensive but also best fits in the CUDA paradigm, for having many threads. Work Completed Implementation Game of Life on CUDA is completed Implementation Fish and Shark on CUDA is completed

3. Game of Life Kernel Host memory = NxNxsizeof(int) one array Device memory = NxNxsizeof(int) two arrays

4. Implementation Game of Life in CUDA using OpenGL Initialized the grid

5. After 700 generations

6. Fish and Shark Kernel

7. #define fishes 0 #define sharks 1 #define fish_breed 2 #define shark_breed 3 --------------------------- -------------------------- ------------------------ int FS_Data[4]; FS_Data[fishes] = 0; // fishes FS_Data[sharks] = 0; // sharks FS_Data[fish_breed] = 0; // fishes breed FS_Data[shark_breed ] = 0; // sharks breed Good use of registers ( with block size = 256, compute capability = 1.1) nvcc --ptxas-options=- v shows registers used ptxas info : Used 10 registers, 8+16 bytes smem, 60 bytes cmem[1]

9. Implementation “Fish and Shark “ on CUDA is completed Initialized the grid Yellow = Shark Red = Fish Black = Dead

10. After 1263 generations

12. Remaining Work Using a new technique MPI + CUDA We intend to use MPJ + JCUDA – We have successfully run JCUDA program on linux and windows, and have merged both MPJ and JCUDA.