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CUTLASS backend for Inductor: PyTorch Compiler Series | Prasanna Biswas
Just watched a fantastic deep dive from the PyTorch team on how torch.compile is leveraging NVIDIA's CUTLASS library to push matrix multiplication performance even further.For those optimizing heavy inference or training workloads, the standard cuBLAS kernels are great, but they aren't always bespoke to your specific tensor shapes. This is ...
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