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- Extracted all hardcoded repository and slide download URLs into a central _variables.yml configuration file.
- Replaced 100+ hardcoded URL strings across the website documentation (.qmd, .md, and _quarto-html.yml) with {{< var slides_latest >}} and {{< var github_repo >}} shortcodes.
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53 lines
2.2 KiB
Plaintext
53 lines
2.2 KiB
Plaintext
---
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pagetitle: "Tutorial Slides"
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title: "Tutorial Slides"
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subtitle: "Beamer decks for the MLSys·im conference tutorial — analytical, first-principles ML systems modeling."
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toc: true
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---
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The MLSys·im tutorial is delivered as a comprehensive 4-module Beamer deck. The PDFs are built
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from source on every release (see [`mlsysim/tutorial/slides/`]({{< var github_repo >}}/tree/dev/mlsysim/tutorial/slides))
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and published alongside this site.
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## Module 1: Foundations & Architecture
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Foundations: the iron law of ML systems, the roofline model, constraint-based systems engineering, dimensional strictness, and the Pydantic registry system.
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[Download Module 1 (PDF)](tutorial_module1.pdf){.im-btn .im-btn-primary target="_blank"}
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## Module 2: Advanced Single-Node Analysis
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Bottlenecks: the data wall (ingestion vs transformation), LLM serving limits (pre-fill vs decoding), algorithmic optimizations (speculative decoding), and the reasoning wall (OpenAI o1 scaling).
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[Download Module 2 (PDF)](tutorial_module2.pdf){.im-btn .im-btn-primary target="_blank"}
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## Module 3: Scale, Dollars, and Carbon
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Fleet dynamics: distributed training, the Amdahl Trap, Total Cost of Ownership (the infrastructure multiplier), and cross-domain carbon accounting.
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[Download Module 3 (PDF)](tutorial_module3.pdf){.im-btn .im-btn-primary target="_blank"}
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## Module 4: Design Space Exploration & Synthesis
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Systems engineering: rapid parametric sweeps, the universality of the roofline (TinyML to Frontier), sensitivity analysis, and SLA-driven hardware synthesis.
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[Download Module 4 (PDF)](tutorial_module4.pdf){.im-btn .im-btn-primary target="_blank"}
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## Source
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The decks live in the `mlsysim/tutorial/slides/` directory of the [MLSysBook
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repository]({{< var github_repo >}}). To rebuild locally:
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```bash
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cd mlsysim/tutorial
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make
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```
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This produces the four PDFs using `pdflatex` and the shared `beamerthememlsys` theme. Prerequisites: `pdflatex` (TeX Live or MacTeX) plus either `inkscape` or `rsvg-convert` for SVG conversion.
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## Looking for the textbook lecture slides?
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The 35-deck textbook lecture series covering both volumes of *Machine Learning
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Systems* lives at [mlsysbook.ai/slides](https://mlsysbook.ai/slides/). Those
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decks are organized by chapter and are independent of the MLSys·im tutorial.
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