In this talk, we will introduce parallel algorithms for large-scale cellular network optimization. Firstly, we propose using randomized BCD method to address small-scale cellular network optimization problem. Then we propose an ADMM-based parallel optimization algorithm for data clustering. Based on cell-partition and grid-partition, we propose two parallel algorithms for large-scale cellular network optimization. Finally, real-world applications validate the efficacy of the proposed algorithms.