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CUTLASS is a collection of CUDA C++ template abstractions for implementing CUTLASS is a collection of CUDA C++ template abstractions for implementing
high-performance matrix-multiplication (GEMM) at all levels and scales within CUDA. high-performance matrix-multiplication (GEMM) at all levels and scales within CUDA.
It incorporates the same strategies for hierarchical decomposition and data movement It incorporates strategies for hierarchical decomposition and data movement similar
that are used to implement cuBLAS. CUTLASS decomposes these “moving parts” into to those used to implement cuBLAS. CUTLASS decomposes these “moving parts” into
reusable, modular software components abstracted by C++ template classes. These reusable, modular software components abstracted by C++ template classes. These
thread-wide, warp-wide, block-wide, and device-wide primitives can be specialized thread-wide, warp-wide, block-wide, and device-wide primitives can be specialized
and tuned via custom tiling sizes, data types, and other algorithmic policy. The and tuned via custom tiling sizes, data types, and other algorithmic policy. The