[MLIR][GPUToLLVMSPV] Use global & local memory scope for GPUBarrierConversion (#169026)

The MLIR [GPU dialect
docs](https://mlir.llvm.org/docs/Dialects/GPU/#gpubarrier-gpubarrierop)
specify that gpu::BarrierOp should make *all memory accesses* visible to
all work items in the workgroup.
Current implementation uses only CLK_LOCAL_MEM_FENCE, which per the
[OpenCL
specification](https://registry.khronos.org/OpenCL/sdk/3.0/docs/man/html/barrier.html)
guarantees visibility of
only *local memory accesses*.

This PR changes the barrier conversion to use CLK_LOCAL_MEM_FENCE |
CLK_GLOBAL_MEM_FENCE,
ensuring both local and global memory operations are properly
synchronized per the MLIR spec.

This issue was discovered while investigating numerical instabilities on
Intel Battlemage,
where race conditions occurred due to incomplete memory synchronization.
2 files changed
tree: 6d35153e9976fe736d98d7f850a8ed2820147672
  1. .ci/
  2. .github/
  3. bolt/
  4. clang/
  5. clang-tools-extra/
  6. cmake/
  7. compiler-rt/
  8. cross-project-tests/
  9. flang/
  10. flang-rt/
  11. libc/
  12. libclc/
  13. libcxx/
  14. libcxxabi/
  15. libsycl/
  16. libunwind/
  17. lld/
  18. lldb/
  19. llvm/
  20. llvm-libgcc/
  21. mlir/
  22. offload/
  23. openmp/
  24. orc-rt/
  25. polly/
  26. runtimes/
  27. third-party/
  28. utils/
  29. .clang-format
  30. .clang-format-ignore
  31. .clang-tidy
  32. .git-blame-ignore-revs
  33. .gitattributes
  34. .gitignore
  35. .mailmap
  36. CODE_OF_CONDUCT.md
  37. CONTRIBUTING.md
  38. LICENSE.TXT
  39. pyproject.toml
  40. README.md
  41. SECURITY.md
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