GPU Radiation Transport Computing for Real-Time Monte Carlo Dose Calculation

The patent segments the particle transport simulation into distinct phases (source generation, transport, interaction, scoring) and implements multi-level parallelization across GPU blocks, threads, and warps. Each phase can be independently optimized and executed in parallel, enabling the Monte Carlo algorithm to achieve both high accuracy and real-time performance by dividing the computational workload into manageable concurrent tasks.

The patent replaces traditional CPU-based sequential Monte Carlo simulation with GPU-based parallel computation. By leveraging the massive parallel processing capability of GPUs, the system substitutes the mechanical sequential execution model with a parallel architecture that can simultaneously track countless particles, achieving real-time dose calculation while maintaining Monte Carlo accuracy.

The patent applies local quality by making thread behavior context-dependent within the particle transport simulation. Different threads execute different instruction paths based on their local particle state (e.g., particle type, energy level, interaction type) rather than following a uniform control flow. This allows the GPU to maintain high occupancy and utilize all streaming multiprocessors effectively, even when handling diverse particle interactions.

The patent implements dynamic execution by allowing the control flow to adapt based on runtime particle conditions. The algorithm dynamically selects which buffer to process and which instructions to execute based on particle type, energy, and interaction stage, enabling flexible handling of divergent paths while maintaining parallel efficiency through dynamic branch prediction and warp-level parallelism.

The patent replaces the CPU-based sequential execution model with a GPU-based parallel architecture. This substitution fundamentally changes the computational mechanics from sequential processing to massive parallel execution, enabling the system to process countless particles simultaneously and achieve real-time dose calculation speeds that meet clinical requirements while maintaining Monte Carlo accuracy.

The patent creates a universal GPU-based Monte Carlo engine that can handle multiple particle types (photons, electrons, protons, ions) and various interaction processes through a unified parallel architecture. This multi-functional implementation maintains ease of use while achieving the speed necessary for clinical applications across different radiation therapy modalities.