ComFuse fuses MatMul kernels with complex elementwise-reduction subgraphs, including back-to-back GEMMs, using thread block clusters and a staged pipeline, and reports up to 1.24x end-to-end speedup over TorchInductor.
Learning to optimize tensor programs,
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ComFuse: Fusing Complex Memory-Intensive Subgraphs with Compute-Intensive Kernels For Modern GPU Architectures
ComFuse fuses MatMul kernels with complex elementwise-reduction subgraphs, including back-to-back GEMMs, using thread block clusters and a staged pipeline, and reports up to 1.24x end-to-end speedup over TorchInductor.