"基于CUDA的FDTD空变电磁场加速计算与可视化"

The FDTD (Finite-Difference Time-Domain) method is a widely used numerical technique for electromagnetic calculations, dividing an object into meshes and iteratively calculating the electromagnetic field using the leapfrog algorithm. This method is known for being intuitive, understandable, highly parallelizable, and applicable to various engineering fields in computational electromagnetics. In the paper "Cloud Computing-Based CUDA Accelerated Calculation and Visualization of Electromagnetic Fields in Space using FDTD", the authors explore the use of CUDA (Compute Unified Device Architecture) to accelerate the FDTD method for electromagnetic field calculations. By utilizing the parallel processing capabilities of GPUs, the authors aim to improve the efficiency and speed of the FDTD calculations, making them suitable for cloud computing applications. The study provides insights into the optimization of the FDTD method using CUDA and demonstrates the potential benefits of cloud-based electromagnetic simulations.