SimWorks deeply applies GPU acceleration technology, fully leveraging the performance advantages of hardware and significantly enhancing the simulation speed. In typical optical simulation scenarios, accelerated computing solutions based on mainstream GPU architectures demonstrate performance far exceeding that of traditional CPUs. SimWorks provides comparative test data of CPU and GPU simulation speeds, which can help users evaluate and select the computing resource configuration that suits their own needs, achieving the optimal balance between performance and cost. In addition, SimWorks also supports multi-GPU parallel computing, allowing multiple Gpus to be scheduled to work collaboratively in a single simulation task. Compared with single-card computing, multi-card parallelism not only doubles the computing speed but also expands the video memory capacity, supporting larger-scale simulation. Whether it is a single-machine multi-card configuration or a multi-machine multi-card cluster, SimWorks can fully utilize multi-GPU resources to achieve more efficient computing and meet the needs of simulation tasks of different scales. The following comparison chart illustrates the acceleration effect of a single GPU over a CPU server, as well as the further speed improvement of multi-GPU parallelism over a single GPU.