3.2 KiB
CUTLASS 3.0
CUTLASS 3.0 - January 2023
CUTLASS is a collection of CUDA C++ template abstractions for implementing high-performance matrix-multiplication (GEMM) at all levels and scales within CUDA. It incorporates strategies for hierarchical decomposition and data movement similar to those used to implement cuBLAS. CUTLASS decomposes these "moving parts" into reusable, modular software components abstracted by C++ template classes. These components can be specialized and tuned via custom tiling sizes, data types, and other algorithmic policies. The resulting flexibility simplifies their use as building blocks within custom kernels and applications.
To support a wide variety of applications, CUTLASS provides extensive support for mixed-precision computations, providing specialized data-movement and multiply-accumulate abstractions for 8-bit integer, half-precision floating point (FP16), single-precision floating point (FP32), and double-precision floating point (FP64) types. Furthermore, CUTLASS exploits the Tensor Cores and asynchronous memory copy operations of the latest NVIDIA GPU architectures.
What's New in CUTLASS 3.0
For an overview of CUTLASS 3.0's GEMM interface levels, please refer to the CUTLASS 3.0 GEMM API document. To learn how to migrate code using CUTLASS 2.x's interface to CUTLASS 3.0, please refer to the backwards compatibility document.
GEMM examples
For a code example showing how to define
a GEMM kernel using CUTLASS, please refer to
the quickstart guide.
The examples directory
has a variety of examples.
Copyright
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