MLSys·im 0.1.1

MLSys·im 0.1.1 — Paper Title Correction

First-principles infrastructure modeling for the Machine Learning Systems textbook.

Metadata-only patch release. No code or API changes; safe drop-in
replacement for 0.1.0. Corrects the paper title cited in three places
to match the actual title of the companion paper.

📚 Documentation

• Paper title corrected across CITATION.cff, the BibTeX snippet in
  README.md, and the reference docstring in mlsysim/core/walls.py.
  Was: "A Composable Analytical Framework for Machine Learning Systems."
  Now: "MLSys·im: First-Principles Infrastructure Modeling for Machine
  Learning Systems."

🏗️ Packaging & Dependencies

• Version bumped to 0.1.1 across pyproject.toml, mlsysim/__init__.py,
  and CITATION.cff; date-released updated to 2026-04-24.

Contributors

• @profvjreddi

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Install

pip install --upgrade mlsysim==0.1.1

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Links

• PyPI · mlsysim 0.1.1
• Documentation
• Full CHANGELOG
• Diff mlsysim-v0.1.0 → mlsysim-v0.1.1

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About MLSys·im

MLSys·im is the first-principles infrastructure modeling engine that
produces every quantitative result in the Machine Learning Systems
textbook — memory bandwidth calculations, roofline analyses, TCO projections,
sustainability estimates, and every other number a reader encounters. Each
figure and equation in the textbook is computed, not hand-typed; mlsysim
is the computation.

The framework codifies 22 systems walls — the physical and logical
constraints that bound ML system performance — into composable solvers,
with SI units enforced at runtime. Designed for three audiences: students
building quantitative intuition, instructors running live classroom
demonstrations, and researchers doing rapid what-if analysis.