CUTLASS 3.5.0

[hwu36]

• Implicit GEMM Convolutions targeting Hopper SM90A via WGMMA + TMA im2col.
  • Native implementation in CUTLASS 3.x using CuTe, mirroring the same design hierarchy as that of GEMMs.
  • Support for 1D, 2D, and 3D convolutions in a rank-agnostic fashion.
  • Support for Fprop, Dgrad, and Wgrad algorithms.
  • CUTLASS profiler support for 2D and 3D convolutions implemented via the 3.x API.
  • NOTE: this is a beta release. Further updates to CUTLASS will include major performance improvements, feature enablement, and possible breaking changes to the API until 3.7 release. Your feedback is welcome on the design!
• Support for Ada (SM89) FP8 tensor cores via the 2.x API. Requires CUDA 12.4 or newer.
• Ampere gather/scatter convolution example in CuTe and CUTLASS 3.x.
  • Showcasing how custom kernels can be written and optimized using CUTLASS 3.x and CuTe and the general strategy for implementing convolutions as specializations of GETTs.
  • Implementation of a coarse grained sparse gather/scatter kernel achieving peak performance on Ampere class tensor cores.
• 32x and 16x tile sizes are added to CUTLASS 2.x to improve the performance of narrow-tall and wide-short matrices.
• Updates to CuTe documentation for cute::Tensor<>, MMA atoms, and an overhauled CuTe GEMM tutorial series.
• Extensions to CuTe to support L2 prefetching and TMA store+reductions.
• Remove C++11 requirement on a few CUTLASS 2.x API header files. All CUTLASS files now require C++17.
• Fixes to greatly reduce build warnings.
• Updates and bugfixes from the community (thanks!)

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This discussion was created from the release CUTLASS 3.5.0.