mirror of
https://github.com/harvard-edge/cs249r_book.git
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4846513629
Add the Periodic Table of Machine Learning Systems source of truth and
the academic paper that introduces it.
* table.yml — canonical 90-element design space (8 abstraction layers
x 5 information-processing roles), with table.schema.json
* scripts/ — Node.js tools that build index.html from the YAML,
migrate prior HTML to YAML, and validate the schema
* paper/ — LaTeX paper "The Periodic Table of Machine Learning Systems:
A Constraint-Driven Design Heuristic with Compiler Correspondence"
* paper/scripts/generate_periodic_svg.py — vector hero figure
generator that reads table.yml and emits a crisp SVG/PDF the paper
embeds in place of a screenshot
* paper/figures/ — molecular_ml, mamba, and periodic_table_hero
figures (SVG sources + PDF outputs)
* paper/Makefile — full build pipeline (svgs -> rsvg-convert -> pdf)
* paper/references.bib — bibliography including Hennessy-Patterson,
Hooker, Sze/Emer, Halide, GPipe, PipeDream, Korthikanti, Kung
34 lines
966 B
JSON
34 lines
966 B
JSON
{
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"name": "@mlsysbook/periodic-table",
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"version": "0.2.0",
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"requires": true,
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"packages": {
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"": {
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"name": "@mlsysbook/periodic-table",
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"version": "0.2.0",
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"dependencies": {
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"js-yaml": "^4.1.1"
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}
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},
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"node_modules/argparse": {
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"license": "Python-2.0"
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},
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"node_modules/js-yaml": {
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"version": "4.1.1",
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"resolved": "https://registry.npmjs.org/js-yaml/-/js-yaml-4.1.1.tgz",
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"license": "MIT",
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"dependencies": {
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"argparse": "^2.0.1"
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},
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"bin": {
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"js-yaml": "bin/js-yaml.js"
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}
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}
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}
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}
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