@article{(Open Science Index):https://publications.waset.org/pdf/11416, title = {Lattice Boltzmann Simulation of Binary Mixture Diffusion Using Modern Graphics Processors}, author = {Mohammad Amin Safi and Mahmud Ashrafizaadeh and Amir Ali Ashrafizaadeh}, country = {}, institution = {}, abstract = {A highly optimized implementation of binary mixture diffusion with no initial bulk velocity on graphics processors is presented. The lattice Boltzmann model is employed for simulating the binary diffusion of oxygen and nitrogen into each other with different initial concentration distributions. Simulations have been performed using the latest proposed lattice Boltzmann model that satisfies both the indifferentiability principle and the H-theorem for multi-component gas mixtures. Contemporary numerical optimization techniques such as memory alignment and increasing the multiprocessor occupancy are exploited along with some novel optimization strategies to enhance the computational performance on graphics processors using the C for CUDA programming language. Speedup of more than two orders of magnitude over single-core processors is achieved on a variety of Graphical Processing Unit (GPU) devices ranging from conventional graphics cards to advanced, high-end GPUs, while the numerical results are in excellent agreement with the available analytical and numerical data in the literature.}, journal = {International Journal of Computer and Information Engineering}, volume = {5}, number = {1}, year = {2011}, pages = {58 - 65}, ee = {https://publications.waset.org/pdf/11416}, url = {https://publications.waset.org/vol/49}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 49, 2011}, }