GPU Ray Tracing for 5G Radio Wave Simulation

The patent segments the large number of rays into multiple groups, where each group is processed independently by a separate GPU. This division allows parallel processing of ray groups, maintaining simulation accuracy while reducing the sequential computation time required to process all rays individually.

The patent transitions from single-GPU sequential processing to multi-GPU parallel processing, adding a dimensional aspect of parallel computation. By distributing ray groups across multiple GPUs that operate simultaneously, the system achieves exponential speedup while maintaining the same simulation accuracy.

The patent segments the complex simulation environment with numerous buildings and receivers into manageable ray groups, each processed by dedicated GPU units. This segmentation reduces the computational complexity burden on individual processing units while maintaining overall simulation realism through comprehensive environmental modeling.

The patent creates multiple copies of computational resources (GPUs) to handle different ray groups simultaneously. Each GPU executes the same ray tracing algorithms on different subsets of rays, enabling the system to manage complex urban environments with many buildings and receivers without overwhelming single processing units.

The patent segments rays with small generation intervals into groups that can be processed in parallel. By maintaining fine-grained ray intervals for accuracy while organizing them into parallel processing groups, the system achieves both high ray density for accuracy and efficient parallel execution for productivity.

The patent ensures continuous utilization of multiple GPUs by distributing ray groups across all available processing units. This continuous parallel processing maintains high simulation throughput even when using a large number of rays with small generation intervals, preventing idle processing time and maximizing computational productivity.