Deploy latest docs: 527f137

docs/cuda-bindings/jupyter_execute/overview.ipynb

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     "# Overview\n",
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     "Error checking is a fundamental best practice in code development and a code\n",
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     "It’s common practice to write CUDA kernels near the top of a translation unit,\n",
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     "Go ahead and compile the kernel into PTX. Remember that this is executed at runtime using NVRTC. There are three basic steps to NVRTC:\n",
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     "Before you can use the PTX or do any work on the GPU, you must create a CUDA\n",
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     "With a CUDA context created on device 0, load the PTX generated earlier into a\n",
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     "Next, get all your data prepared and transferred to the GPU. For increased\n",
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     "With the input data `a`, `x`, and `y` created for the SAXPY transform device,\n",
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     "With data prep and resources allocation finished, the kernel is ready to be\n",
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     "Now the kernel can be launched:"
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     "The `cuLaunchKernel` function takes the compiled module kernel and execution\n",
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     "Perform verification of the data to ensure correctness and finish the code with\n",
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     "## Performance\n",