mirror of
https://github.com/harvard-edge/cs249r_book.git
synced 2026-05-07 18:18:42 -05:00
9bf14d7a8b
Correct the paper title cited in three places to match the actual
paper.tex title. The previous title ("A Composable Analytical Framework
for Machine Learning Systems") was an early working title; the paper
now reads "MLSys·im: First-Principles Infrastructure Modeling for
Machine Learning Systems".
Metadata-only patch; no code or API changes.
- mlsysim/CITATION.cff : title + version 0.1.1 + date 2026-04-24
- mlsysim/README.md : BibTeX snippet title + version 0.1.1
- mlsysim/mlsysim/core/walls.py : reference docstring
- mlsysim/pyproject.toml : version 0.1.1
- mlsysim/mlsysim/__init__.py : __version__ = '0.1.1'
- mlsysim/CHANGELOG.md : 0.1.1 entry
28 lines
1.0 KiB
YAML
28 lines
1.0 KiB
YAML
cff-version: 1.2.0
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message: "If you use mlsysim in your research or teaching, please cite it as below."
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title: "MLSys·im: First-Principles Infrastructure Modeling for Machine Learning Systems"
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type: software
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authors:
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- family-names: "Janapa Reddi"
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given-names: "Vijay"
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orcid: "https://orcid.org/0000-0002-5005-2564"
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affiliation: "Harvard University"
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version: "0.1.1"
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date-released: "2026-04-24"
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license: "Apache-2.0"
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url: "https://mlsysbook.ai/mlsysim"
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repository-code: "https://github.com/harvard-edge/cs249r_book"
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keywords:
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- machine learning systems
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- analytical modeling
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- roofline model
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- performance estimation
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- ML infrastructure
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- educational tool
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abstract: >-
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mlsysim is a first-principles analytical modeling engine for machine learning
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systems. It encodes 22 fundamental constraints ("walls") governing ML system
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performance into composable solvers, enabling quantitative reasoning about
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hardware, communication, economics, and sustainability — from sub-watt
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microcontrollers to exaflop-scale training clusters.
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