Helion Uses Compile-Time Heuristics for Faster Kernels

Kernels are classified into matmul, reduction, or pointwise families, each with dedicated heuristics. On H100, linear attention kernels outperform hand-written Triton by 1.18x (forward) and 1.12x (backward), while vLLM reduction kernels are 1.27x faster than their own CUDA code and 2.2x faster than previous defaults. The analysis incurs negligible overhead, with compile time differences under tens of milliseconds.

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