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Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2021/04/28 00:09:24 UTC

[GitHub] [tvm] masahi commented on pull request #7935: [SPARSE] Improve sparse performance on ROCM

masahi commented on pull request #7935:
URL: https://github.com/apache/tvm/pull/7935#issuecomment-828042725


   This post says: "They (`ds_permute` and `ds_bpermute` instructions) use LDS hardware to route data between the 64 lanes of a wavefront, but they don’t actually write to an LDS location"
   https://gpuopen.com/learn/amd-gcn-assembly-cross-lane-operations/
   
   I wonder if both approaches use shared memory, why the explicit way as in this PR is faster.


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