mirror of
https://github.com/harvard-edge/cs249r_book.git
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29 lines
1.1 KiB
YAML
29 lines
1.1 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: "0.1.2"
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date-released: "2026-05-17"
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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 framework for machine
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learning systems, designed for education and early design-space reasoning
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before empirical benchmarking. It encodes 22 fundamental constraints ("walls")
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governing ML system performance into composable solvers, enabling quantitative
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reasoning about hardware, communication, economics, and sustainability — from
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sub-watt microcontrollers to exaflop-scale training clusters.
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