CUDA Kernel

CUDA kernels are highly optimized functions executed on NVIDIA GPUs, aiming to maximize the performance of computationally intensive tasks. Current research focuses on improving kernel efficiency for large language models (LLMs), neural network inference, and other demanding applications, often employing techniques like memory optimization, instruction scheduling, and quantization. These advancements lead to significant speedups and reduced resource consumption, impacting fields like AI, scientific computing, and graphics rendering by enabling faster training and inference of complex models.