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@ -20,8 +20,8 @@ point (FP64) types. Furthermore, CUTLASS demonstrates CUDA's WMMA API for targe
the programmable, high-throughput _Tensor Cores_ provided by NVIDIA's Volta architecture
and beyond.
For more exposition, see our Parallel Forall blog post ["CUTLASS: Fast Linear Algebra
in CUDA C++"](https://devblogs.nvidia.com/parallelforall/cutlass-linear-algebra-cuda).
For more exposition, see our Parallel Forall blog post [CUTLASS: Fast Linear Algebra
in CUDA C++](https://devblogs.nvidia.com/parallelforall/cutlass-linear-algebra-cuda).
# Performance