[QST]Question about the picture in documentation `Efficient GEMM in CUDA`
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Description
I notice the picture in this manual: https://github.com/NVIDIA/cutlass/blob/main/media/docs/efficient_gemm.md
The partition from global memory to shared memory blocks is easy to understand.
My question comes from the 2nd part: Thread Block Tile.
In the picture, it seems to use an External product, which uses a column in A and a row in B to generate a matrix C.
A.shape (m, 1), B.shape (1, N) -> C.shape (M, N)
Is that the fact?
If so, why is it different from the 1st block partition?
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Research direction
Read media/docs/efficient_gemm.md and inspect the linked Thread Block Tile image alongside the global-to-shared-memory partition. Determine whether the diagram represents an outer product and explain how the two partitioning stages differ; done means the documentation question has a technically supported clarification.
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Assessment
- Tech stack
- cpp
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100