Add SM80/89 blockwise scaling kernel, support FP8 block/groupwise on Ada, INT8 on Ampere

[solrex]

Inspired by #1932 and #2037, implement blockscaling kernel on platforms before SM90.

• FP8 blockwise/groupwise scaling kernel for Ada(L20, L40S, 4090) (Requires accumulator type to be float)
• INT8 blockwise/groupwise scaling kernel for Ampere(A100/800, A10, A30) (Requires accumulator type to be int)
• CUTLASS 3.x API

[hwu36]

@jackkosaian

[solrex]

The following are the example benchmark results on L40S with CUDA 12.4 and CUTLASS main:

FP8:

$ ./examples/85_ada_ampere_gemm_with_blockwise_scaling/85a_ada_fp8_gemm_with_groupwise_scaling_cute
Problem Size: 1024x1024x1024x1
  Tile shape (M, N, K): _64, _128, _128
  ScaleGranularityM: 1 (ScaleMsPerTile: 64)
  ScaleGranularityN: 128 (ScaleNsPerTile: 1)
  Running... 
  Result MSE: 2.79446e-06, MRE: 12.0697, greatest error: 0.0196838
  Disposition: Passed
  Avg runtime: 0.00905421 ms
  GFLOPS: 237181

$ ./examples/85_ada_ampere_gemm_with_blockwise_scaling/85b_ada_fp8_gemm_with_blockwise_scaling_cute
  Problem Size: 1024x1024x1024x1
  Tile shape (M, N, K): _128, _128, _128
  ScaleGranularityM: 128 (ScaleMsPerTile: 1)
  ScaleGranularityN: 128 (ScaleNsPerTile: 1)
  Running... 
  Result MSE: 2.61817e-06, MRE: 11.7382, greatest error: 0.0210075
  Disposition: Passed
  Avg runtime: 0.0233175 ms
  GFLOPS: 92097.5

INT8: 

$ ./examples/85_ada_ampere_gemm_with_blockwise_scaling/85c_ampere_int8_gemm_with_groupwise_scaling_cute
  Problem Size: 1024x1024x1024x1
  Tile shape (M, N, K): _64, _128, _128
  ScaleGranularityM: 1 (ScaleMsPerTile: 64)
  ScaleGranularityN: 128 (ScaleNsPerTile: 1)
  Running... 
  Result MSE: 0, MRE: 81.7363, greatest error: 0
  Disposition: Passed
  Avg runtime: 0.00911155 ms
  GFLOPS: 235688

$ ./examples/85_ada_ampere_gemm_with_blockwise_scaling/85d_ampere_int8_gemm_with_blockwise_scaling_cute
  Problem Size: 1024x1024x1024x1
  Tile shape (M, N, K): _128, _128, _128
  ScaleGranularityM: 128 (ScaleMsPerTile: 1)
  ScaleGranularityN: 128 (ScaleNsPerTile: 1)
  Running... 
  Result MSE: 0, MRE: 77.9124, greatest error: 0
  Disposition: Passed
  Avg runtime: 0.0239155 ms
  GFLOPS: 89794.6