Can LLMs Write Fast Multi-GPU Kernels? — Simran Arora, Together AI
Source
AI Engineer
Author
AI Engineer
Date
Why it matters
Puts a measured ceiling on model-written multi-GPU kernels and names where they break — collective ordering, data partitioning, choosing between copy engine, TMA and register transfers — while communication, not compute, becomes the real bottleneck.
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