Currently the compiler will ICE in programs like the following on the
device lowering pass:
```
program main
implicit none
type i1_t
integer :: val(1000)
end type i1_t
integer :: i
type(i1_t), pointer :: newi1
type(i1_t), pointer :: tab=>null()
integer, dimension(:), pointer :: tabval
!$omp THREADPRIVATE(tab)
allocate(newi1)
tab=>newi1
tab%val(:)=1
tabval=>tab%val
!$omp target teams distribute parallel do
do i = 1, 1000
tabval(i) = i
end do
!$omp end target teams distribute parallel do
end program main
```
This is due to the fact that THREADPRIVATE returns a result operation,
and this operation can actually be used by other LLVM dialect (or other
dialect) operations. However, we currently skip the lowering of
threadprivate, so we effectively never generate and bind an LLVM-IR
result to the threadprivate operation result. So when we later go on to
lower dependent LLVM dialect operations, we are missing the required
LLVM-IR result, try to access and use it and then ICE. The fix in this
particular PR is to allow compilation of threadprivate for device as
well as host, and simply treat the device compilation as a no-op,
binding the LLVM-IR result of threadprivate with no alterations and
binding it, which will allow the rest of the compilation to proceed,
where we'll eventually discard the host segment in any case.
The other possible solution to this I can think of, is doing something
similar to Flang's passes that occur prior to CodeGen to the LLVM
dialect, where they erase/no-op certain unrequired operations or
transform them to lower level series of operations. And we would
erase/no-op threadprivate on device as we'd never have these in target
regions.
The main issues I can see with this are that we currently do not
specialise this stage based on wether we're compiling for device or
host, so it's setting a precedent and adding another point of having to
understand the separation between target and host compilation. I am also
not sure we'd necessarily want to enforce this at a dialect level incase
someone else wishes to add a different lowering flow or translation
flow. Another possible issue is that a target operation we have/utilise
would depend on the result of threadprivate, meaning we'd not be allowed
to entirely erase/no-op it, I am not sure of any situations where this
may be an issue currently though.
The LLVM/Offload Subproject
The Offload subproject aims at providing tooling, runtimes, and APIs that allow users to execute code on accelerators or other "co-processors" that may or may not match the architecture of their "host". In the long run, all kinds of targets are in scope of this effort, including but not limited to: CPUs, GPUs, FPGAs, AI/ML accelerators, distributed resources, etc.
For OpenMP offload users, the project is ready and fully usable. The final API design is still under development. More content will show up here and on our webpage soon. In the meantime, people are encouraged to participate in our meetings (see below) and check our development board as well as the discussions on Discourse.
Meetings
Every second Wednesday, 7:00 - 8:00am PT, starting Jan 24, 2024. Alternates with the OpenMP in LLVM meeting. invite.ics Meeting Minutes and Agenda