Design Docs Are All You Need: An AI-native Machine-Learning Performance Tool
SMART is described, a rigorous symbolic performance-modeling library for ML systems whose main branch contains almost no code, and Regenerated implementations reproduce hand-audited reference models to round-off precision, suggesting that design docs can be the durable artifact for ML-systems co-design tools.
Samuel Kushnir, Kimia Noorbakhsh, Kavya Sreedhar et al.
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