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Ethan Wu
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Update README.md
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README.md

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@@ -17,4 +17,4 @@ GEMM essentially faces two main performance hurdles not implemented yet:
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1. Swizzling to prevent bank conflicts.
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2. An efficient epilogue, which involves transferring data from registers to shared memory, followed by a vectorized copy back to global memory.
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Since I've sold my computer, I no longer have access to an NVIDIA GPU, thus the development of this library will be put on hold indefinitely.
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Since I've sold my old laptop, I no longer have access to an NVIDIA GPU, thus the development of this library will be put on hold indefinitely.

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