CUDA kernels are specialized functions that run on NVIDIA graphics processing units (GPUs), enabling developers to harness the massive parallel processing capabilities of these devices for computationally intensive tasks. By offloading complex computations to CUDA kernels, researchers and developers can significantly accelerate applications in fields like scientific simulations, data analytics, and machine learning, making CUDA kernels a crucial tool for high-performance computing and research applications.
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