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@SohamTilekar Have a look at https://github.com/IntelPython/numba-dpex. Numba-dpex provides an generic kernel programming API that mimics the C++ SYCL embedded domain-specific language. Kernels written in the API can presently be run on OpenCL CPU devices (Intel and AMD) and Intel OpenCL and Level Zero integrated and discrete GPUs.
The architecture of numba-dpex is extensible enough that it should be possible to plug-in support for CUDA devices, but such support is currently missing.
Feature request
Using OpenCl Gives the Support to Program the non-Nvidia GPU programing.
You can also do CPU Parallelization Easily.
It Is little bit High-level than CUDA. And it is almost same as CUDA.
And many more Features.
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