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Diffstat (limited to 'docs/cuda-target.md')
| -rw-r--r-- | docs/cuda-target.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/cuda-target.md b/docs/cuda-target.md index adb56d922..c59703259 100644 --- a/docs/cuda-target.md +++ b/docs/cuda-target.md @@ -267,7 +267,7 @@ There is broad support for [HLSL Wave intrinsics](https://docs.microsoft.com/en- Most Wave intrinsics will work with vector, matrix or scalar types of typical built in types - uint, int, float, double, uint64_t, int64_t. -The support is provided via both the Slang stdlib as well as the Slang CUDA prelude found in 'prelude/slang-cuda-prelude.h'. Many Wave intrinsics are not directly applicable within CUDA which supplies a more low level mechanisms. The implementation of most Wave functions work most optimally if a 'Wave' where all lanes are used. If all lanes from index 0 to pow2(n) -1 are used (which is also true if all lanes are used) a binary reduction is typically applied. If this is not the case the implementation fallsback on a slow path which is linear in the number of active lanes, and so is typically significantly less performant. +The support is provided via both the Slang core module as well as the Slang CUDA prelude found in 'prelude/slang-cuda-prelude.h'. Many Wave intrinsics are not directly applicable within CUDA which supplies a more low level mechanisms. The implementation of most Wave functions work most optimally if a 'Wave' where all lanes are used. If all lanes from index 0 to pow2(n) -1 are used (which is also true if all lanes are used) a binary reduction is typically applied. If this is not the case the implementation fallsback on a slow path which is linear in the number of active lanes, and so is typically significantly less performant. For more a more concrete example take |