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mlsys-topic-selection
Use when deciding whether a project belongs at MLSys rather than OSDI, SOSP, NSDI, ASPLOS, ATC, EuroSys, or the ML conferences, testing for genuine ML-systems co-design, choosing between the research and industrial tracks, and sharpening the systems-for-ML or ML-for-systems framing before writing starts.
MLSys-Skills/skills/mlsys-topic-selection/SKILL.md
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# MLSys Topic Selection
Use this before writing begins. MLSys exists for work where machine learning and computer
systems constrain each other — the CFP spans **systems for ML** (training, inference,
serving, compilers, runtimes, specialized hardware, hardware-efficient methods,
benchmarks and tooling) and **ML for systems** (learned scheduling, LLM-driven hardware
design and system optimization), plus adjacent lanes like federated learning, compound AI
and agent systems, privacy/security for ML, and data preparation (2026 topics list,
verified 2026-07-08). Fit failures here are usually routing failures: strong work aimed
at the wrong reviewer pool.
## The co-design test
Ask two questions; MLSys wants both answers to be yes.