The major stochastic optical reconstruction microscope (STORM) techniques include data localization and reconstruction algorithms with respect to a large number of images. However, the existing open source algorithms are limited by their slow speed or computer memory when processing an ultralarge dataset, restricting the extensive application of STORM techniques. Therefore, we propose WindSTORM PLUS for performing single-molecule localization data processing using MATLAB and parallel computation. The outcomes obtained using the simulated large datasets demonstrate that the data processing speed of WindSTORM PLUS is greater than those of the existing WindSTORM and ThunderSTORM by 1000%. Furthermore, the memory requirements are reduced by 60% compared with those in case of WindSTORM. In addition, we establish an easySTORM system and conduct a test using some samples to verify the superiority of our algorithm. The time-consuming of WindSTORM PLUS is only 9% of WindSTORM and Gauss-WLS. We believe that this open source algorithm can provide a novel high-speed STORM data processing approach.