CUTLASS backend for Inductor: PyTorch Compiler Series | Prasanna Biswas
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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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Our next PyTorch Compiler Series video is live covering CUTLASS backend for Inductor CUTLASS is an NVIDIA-provided library of highly-performant GEMM primitives. Michael Lazos discusses key concepts behind CUTLASS and demonstrates how to utilize torch.compile to customize these primitives for a specific workload via autotuning & epilogue fusion. 📺 Watch the full video on YouTube: https://hubs.la/Q03vfJ860 #PyTorch #Compiler #CUTLASS #GEMM #Demo | PyTorch
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Our next PyTorch Compiler Series video is live covering CUTLASS backend for Inductor CUTLASS is an NVIDIA-provided library of highly-performant GEMM primitives. Michael Lazos discusses key concepts behind CUTLASS and demonstrates how to utilize torch.compile to customize these primitives for a specific workload via autotuning & epilogue fusion. 📺 Watch the full video on YouTube: https://hubs.la/Q03vfJ860 #PyTorch #Compiler #CUTLASS #GEMM #Demo | PyTorch
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