What is Julia's role in GPU computing?

Julia supports GPU computing through packages like CUDA.jl for high-performance parallel execution.

Julia enables GPU acceleration by compiling Julia functions into GPU-compatible kernels using CUDA.jl. This allows developers to write high-level code that runs directly on GPUs without switching languages. Memory transfer between CPU and GPU is optimized, and kernels are generated at runtime for performance portability.