Commit 8ae62c4
authored
ReduceOps.eval with BoxND (#4875)
## Summary
This PR enables the use of `ReduceOps.eval()` with a BoxND of any
dimension. This is achieved using BoxIndexerND, just like
ParallelForRNG, which also provides support for 64-bit indexing to
support very large boxes.
There was issue where the extra size added by BoxIndexerND pushes an EB
kernel over the parameter size limit for SYCL.
This was fixed by using MultiArray4 for some of the arrays instead.
```
error: Total size of kernel arguments exceeds limit! Total arguments size: 2064, limit: 2048
in kernel: 'typeinfo name for void amrex::launch<256, void amrex::ReduceOps<amrex::ReduceOpMax>::eval<amrex::ReduceData<int>, amrex::EB2::Level::coarsenFromFine(amrex::EB2::Level&, bool)::'lambda4'(int, int, int), 3>(amrex::BoxND<3> const&, amrex::ReduceData<int>&, amrex::EB2::Level::coarsenFromFine(amrex::EB2::Level&, bool)::'lambda4'(int, int, int) const&)::'lambda'(amrex::Gpu::Handler const&)>(int, unsigned long, amrex::gpuStream_t, amrex::EB2::Level::coarsenFromFine(amrex::EB2::Level&, bool)::'lambda4'(int, int, int) const&)::'lambda'(sycl::_V1::handler&)::operator()(sycl::_V1::handler&) const::'lambda'(sycl::_V1::nd_item<1>)'
error: backend compiler failed build.
```
https://github.com/AMReX-Codes/amrex/blob/1fe7883af64291e5c67d0d4ce65eb2e758dab412/Src/EB/AMReX_EB2_Level.cpp#L364-L3791 parent 8c41360 commit 8ae62c4
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