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Merge pull request PaddlePaddle#28 from NVIDIA/cutlass_1.1
Fixed typeo
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README.md

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@@ -37,7 +37,7 @@ We describe the structure of an efficient GEMM in our talk at the
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* [Batched Strided GEMM](tools/test/unit/gemm/batched_strided_sgemm_128x128x8.cu)
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* [Threadblock rasterization strategies](tools/test/unit/gemm/sgemm_threadblock_swizzle_nt.cu)
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* Improved performance for adverse problem sizes and data layouts
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* Extended CUTLASS Core comonents
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* Extended CUTLASS Core components
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* Tensor views support arbitrary matrix and tensor layouts
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* Zip iterators for structuring multiple data streams
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* Enhanced CUTLASS utilities

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