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_posts/2024-11-04-reverse-mode-autodiff-of-cuda-kernels-final.md

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@@ -482,7 +482,7 @@ Now that's easy. And, thus, cool.
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### Future work
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One could claim that this is the beginning of a never-ending story. There are numerous features of CUDA that could be supported in `Clad`, some of them being:
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* Shared memory: Shared memory can only be declared inside a kernel. Since, `Clad` transforms the original kernel into a device function, no declaration of shared memory can be present there. There are ongoing discussions on the need of the overload functions and the produced function's signature.
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* Shared memory: Shared memory can only be declared inside a kernel. Since `Clad` transforms the original kernel into a device function, no declaration of shared memory can be present there. There are ongoing discussions on the need of the overload functions and the produced function's signature.
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* Synchronization functions, like `__syncthreads()` and `cudaDeviceSynchronize()`
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* Other CUDA host functions
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* CUDA math functions

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