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Seeking feedback from Triton/CUDA engineers: PyTorch-to-Triton kernel fusion edge cases & fallback heuristics

This story is from 2026-09-04. It is preserved in the archive; the latest stories are on the live feed.

Hey everyone, I’m working on KernelMind AI ( https://kernel-mind-ai.vercel.app/ ), a tool that compiles standard eager PyTorch operations into fused OpenAI Triton GPU kernels to eliminate VRAM round-trips for memory-bound workloads. In our early tests, we’ve focused primarily on elementwise chains…

Read the full story at r/learnmachinelearning ↗

Timeline · 2 reports

  1. 2026-09-04 19:34 · r/deeplearning
    Seeking feedback from Triton/CUDA engineers: PyTorch-to-Triton kernel fusion edge cases & fallback heuristics
  2. 2026-09-04 19:34 · r/learnmachinelearning
    Seeking feedback from Triton/CUDA engineers: PyTorch-to-Triton kernel fusion edge cases & fallback heuristics

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