• Minimal SM90 WGMMA + TMA GEMM example in 100 lines of code.
• Exposure of L2 cache_hints in TMA copy atoms
• Exposure of raster order and tile swizzle extent in CUTLASS library profiler, and
  example 48.
• TMA store based and EVT supported epilogues for Hopper pointer array batched kernels.
• A new GemmSparseUniversal API for CUTLASS 2.x Ampere kernels to enable serial and parallel split-k for sparse tensor cores and new tiny tile sizes to better support LLM inference.
• CUDA host adapter extensions to support TMA descriptor construction driver APIs.
• Inclusion of more Hopper fprop, dgrad, and wgrad convolution kernels in CUTLASS library and profiler.
• Support for residual add (beta != 0) in convolution kernels.
• A new convolution epilogue for CUTLASS 2.x to support non-packed NHWC output.
• A refactor of include files throughout CUTLASS core directories to reduce circular dependencies and tests to guard against them.
• A guide for setting up VSCode to work well with CUTLASS and expanded code style guide.
• Better support for MSVC as a host compiler.
• Many performance optimizations, improvements, and bug fixes including fixes for FlashAttention-2.
• Optimal code generation with CUDA toolkit versions 12.4 and 12.5u1.
• NOTICE:
  • Upcoming CUTLASS 3.6 release will include a breaking refactor to the CUTLASS 3.x convolution kernel::ConvUniversal API to bring it in line with gemm::GemmUniversal. After this, the 3.x convolution API will no longer be considered as a beta API.
  • Upcoming CUTLASS 3.6 release will include a breaking refactor to the Hopper TMA pointer array batched epilogue in order to support grouped GEMMs.