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CUTLASS 2.0
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@kerrmudgeon kerrmudgeon released this 22 Nov 17:40
v2.0.0
7c0cd26
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Learn about vigilant mode.

Substantially refactored for

  • Better performance, particularly for native Turing Tensor Cores
  • Robust and durable templates spanning the design space
  • Encapsulated functionality embodying modern C++11 programming techniques
  • Optimized containers and data types for efficient, generic, portable device code

Updates to:

  • Quick start guide
  • Documentation
  • Utilities
  • CUTLASS Profiler

Native Turing Tensor Cores

  • Efficient GEMM kernels targeting Turing Tensor Cores
  • Mixed-precision floating point, 8-bit integer, 4-bit integer, and binarized operands

Coverage of existing CUTLASS functionality

  • GEMM kernels targeting CUDA and Tensor Cores in NVIDIA GPUs
  • Volta Tensor Cores through native mma.sync and through WMMA API
  • Optimizations such as parallel reductions, threadblock rasterization, and intra-threadblock reductions
  • Batched GEMM operations
  • Complex-valued GEMMs

Note: a host compiler supporting C++11 or greater is required.

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