This is a patch in preparation for the support stream ordered memory
allocator in CUDA Fortran.
This patch adds an asynchronous id to the AllocatableAllocate runtime
function and to Descriptor::Allocate so it can be passed down to the
registered allocator. It is up to the allocator to use this value or
not.
A follow up patch will implement that asynchronous allocator for CUDA
Fortran.
This patch adds new runtime entry points that perform the simple
allocation/deallocation of module allocatable variable with cuda
attributes.
When the allocation is initiated on the host, the descriptor on the
device is synchronized. Both descriptors point to the same data on the
device.
This is the first PR of a stack.
CUDA Fortran is meant to be an equivalent to the runtime API. Therefore,
it makes more sense to use the cuda rt API in the allocators for CUF.
@bdudleback
CUDA unified variable where set to use the same allocator than managed
variable. This patch adds a specific allocator for the unified
variables. Currently it will call the managed allocator underneath but
we want to have the flexibility to change that in the future.
Add allocators for CUDA fortran allocation on the device. 3 allocators
are added for pinned, device and managed/unified memory allocation.
`CUFRegisterAllocator()` is called to register the allocators in the
allocator registry added in #100690.
Since this require CUDA, a cmake option `FLANG_CUF_RUNTIME` is added to
conditionally build these.
