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Research questionHow can machine-learning performance-modeling frameworks stay maintainable as models and systems evolve?Changing model architectures and system configurations can invalidate the abstractions that performance frameworks rely on. Repeatedly patching those frameworks makes their assumptions harder to track and increases maintenance debt.
AI
AI Agents
Code Generation & Program Synthesis
Machine Learning
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Latest papersRecent research connected to this question, newest first.Design Docs Are All You Need: An AI-native Machine-Learning Performance ToolThe source describes SMART, a symbolic performance-modeling library for ML systems whose implementations are regenerated by coding agents from natural-language design documents. It reports round-off-precision agreement with hand-audited reference models, including DeepSeek-V3 serving on a TPU pod slice.research paper · Sep 4, 2026
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