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@ -25,7 +25,7 @@ in CUDA C++"](https://devblogs.nvidia.com/parallelforall/cutlass-linear-algebra-
# Performance
![ALT](/media/cutlass-performance-plot.png "Relative performance of CUTLASS and cuBLAS for large matrices")
<p align="center"><img src=/media/cutlass-performance-plot.png></p>
CUTLASS primitives are very efficient. When used to construct device-wide GEMM kernels,
they exhibit performance comparable to cuBLAS for scalar GEMM