What happens when you run a CUDA kernel?

This technical deep-dive explains the process of executing a CUDA kernel on an NVIDIA GPU, from source code compilation to hardware execution. It explores the 'legibility transition' in computing, where AI assists in understanding complex low-level systems.
Why it matters
Understanding the hardware-software interface is critical for developers optimizing high-performance computing and AI workloads.
Here’s a simple CUDA program. It adds two vectors.
The content is purely technical and educational, lacking political or social bias.
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