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]>

…sue_56

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]>

…sue_56

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]>

…sue_56