GPU Kernel Optimization

Drawing on roughly ten months of building a reinforcement learning training framework from scratch, the author distills core knowledge on GPU execution models, memory hierarchies, and kernel optimization, with companion profiling and tuning-flag guidance aimed at agents. It is an engineering-oriented primer rather than a novel research result, best suited to developers seeking a grounding in low-level GPU performance tuning.