[QST] How to apply StreamK to hopper warp specialized GEMM

What is your question?
I'm trying to apply StreamK or SplitK to a hopper warp specialized GEMM.
you can see the full code here and the Gemm is declared in this way:

using CollectiveEpilogue = typename cutlass::epilogue::collective::CollectiveBuilder<
    ArchTag, OperatorClass,
    TileShape, ClusterShape,
    EpilogueTileType,
    ElementAccumulator, ElementCompute,
    ElementC, LayoutC, AlignmentC,
    ElementD, LayoutD, AlignmentD,
    EpilogueSchedule,
    FusionOperation
  >::CollectiveOp;

using CollectiveMainloopWithBlockWiseScaling = typename cutlass::gemm::collective::CollectiveBuilder<
    ArchTag, OperatorClass,
    ElementA, LayoutA, AlignmentA,
    ElementB, LayoutB, AlignmentB,
    ElementAccumulator,
    TileShape, ClusterShape,
    cutlass::gemm::collective::StageCountAutoCarveout<
      static_cast<int>(sizeof(typename CollectiveEpilogue::SharedStorage))
    >,
    KernelSchedule
  >::CollectiveOp;

using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
    Shape<int,int,int,int>, // Indicates ProblemShape
    CollectiveMainloopWithBlockWiseScaling,
    CollectiveEpilogue
>;
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;

Firstly, I tried just replacing GemmUniversal with GemmSplitKParallel to apply SplitK. It didn't work.

Now I'm trying to apply StreamK/SplitK to the GEMM with the other way based on this example

  using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
      Shape<int,int,int,int>,
      CollectiveOp,
      EpilogueOp,
      cutlass::gemm::StreamKScheduler // <--- Change needed to enable the stream-K scheduler
  >;
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;

But I'm not sure how to use it next.
Does this method support FP8 GEMM on Hopper? Which version of CUDA should I use?

@jackkosaian Will be very grateful for your help!

Start with examples/67_hopper_fp8_warp_specialized_gemm_with_blockwise_scaling/67_hopper_fp8_warp_specialized_gemm_with_groupwise_scaling.cu and compare its Gemm declaration with examples/74_blackwell_gemm_streamk/blackwell_gemm_streamk.cu. Determine whether StreamK or SplitK supports this Hopper FP8 configuration, which CUDA version applies, and document a working usage path with its requirements.