In high-performance computing (HPC) environments, graphics processing units (GPUs) are crucial for accelerating computationally intensive tasks.
New advancements in GPU technology present new opportunities to enhance computational efficiency.
However, handling data transfer and thread synchronization issues poses challenges for algorithm optimization.
By first understanding the GPU hierarchy model, we explore various communication techniques, using the Fast Fourier Transform (FFT) as a case study.
