cuda.device_empty function #66
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This PR aims to make the C code compilable using nvcc. The cuda language was added as well as a CudaCodePrinter. Changes to stdlib: Wrapped expressions using complex types in an `ifndef __NVCC__` to avoid processing them with the nvcc compiler --------- Co-authored-by: Mouad Elalj, EmilyBourne
This pull request fixes #48, by implementing a tiny wrapper for CUDA and a wrapper for non-CUDA functionalities only with external 'C'. **Commit Summary** - Implemented new header printer for CUDA. - Added CUDA wrapper assignment - Instead of wrapping all local headers, wrap only C functions with extern 'C' --------- Co-authored-by: EmilyBourne <[email protected]> Co-authored-by: bauom <[email protected]>
This pull request addresses issue #28 by implementing a new feature in Pyccel that allows users to define custom GPU kernels. The syntax for creating these kernels is inspired by Numba. and I also need to fix issue #45 for testing purposes **Commit Summary** - Introduced KernelCall class - Added cuda printer methods _print_KernelCall and _print_FunctionDef to generate the corresponding CUDA representation for both kernel calls and definitions - Added IndexedFunctionCall represents an indexed function call - Added CUDA module and cuda.synchronize() - Fixing a bug that I found in the header: it does not import the necessary header for the used function --------- Co-authored-by: EmilyBourne <[email protected]> Co-authored-by: bauom <[email protected]> Co-authored-by: Emily Bourne <[email protected]>
…nctions, and refining CUDA type handling
This PR aims to make the C code compilable using nvcc. The cuda language was added as well as a CudaCodePrinter. Changes to stdlib: Wrapped expressions using complex types in an `ifndef __NVCC__` to avoid processing them with the nvcc compiler --------- Co-authored-by: Mouad Elalj, EmilyBourne
This pull request fixes #48, by implementing a tiny wrapper for CUDA and a wrapper for non-CUDA functionalities only with external 'C'. **Commit Summary** - Implemented new header printer for CUDA. - Added CUDA wrapper assignment - Instead of wrapping all local headers, wrap only C functions with extern 'C' --------- Co-authored-by: EmilyBourne <[email protected]> Co-authored-by: bauom <[email protected]>
This pull request addresses issue #28 by implementing a new feature in Pyccel that allows users to define custom GPU kernels. The syntax for creating these kernels is inspired by Numba. and I also need to fix issue #45 for testing purposes **Commit Summary** - Introduced KernelCall class - Added cuda printer methods _print_KernelCall and _print_FunctionDef to generate the corresponding CUDA representation for both kernel calls and definitions - Added IndexedFunctionCall represents an indexed function call - Added CUDA module and cuda.synchronize() - Fixing a bug that I found in the header: it does not import the necessary header for the used function --------- Co-authored-by: EmilyBourne <[email protected]> Co-authored-by: bauom <[email protected]> Co-authored-by: Emily Bourne <[email protected]>
This pull request addresses issue #59 by adding more CUDA-specific keywords to enhance the checking of variable/function names and prevent name clashes --------- Co-authored-by: EmilyBourne <[email protected]> Co-authored-by: bauom <[email protected]>
This pull request addresses issue #41 by implementing a new feature in Pyccel that allows users to define a custom device **Commit Summary** - Adding handler for custom device and its code generation. - Adding test --------- Co-authored-by: EmilyBourne <[email protected]>
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This pull request addresses issue #57 by adding a new feature to 'cuda' device_empty that allows you to allocate memory on the GPU