Summary: We used to avoid a lot of this stuff because we didn't properly handle variadics in device code. That's been solved for now, so we can just make an internal printf handler that forwards to the external `vprintf` function. This is either provided by NVIDIA's SDK or by the GPU libc implementation. The main reason for doing this is because it prevents the stupid AMDGPU printf pass from mangling our beautiful printfs!
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