cs249r_book

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Author	SHA1	Message	Date
Vijay Janapa Reddi	1eb30f5f86	fix(mlsysim): harden release QA and paper artifacts Align the MLSys·im code, docs, paper, website, workflows, and lab wheel for the 0.1.1 release. This also fixes runtime/API issues found during release review and prepares the paper PDF plus archive package.	2026-04-25 10:06:01 -04:00
Vijay Janapa Reddi	0745a5fb73	mlsysim: align package identity copy with paper title Four user-facing identity statements referenced an earlier working title ("A Composable Analytical Framework for Machine Learning Systems") that no longer matches the actual paper title fixed in 0.1.1 ("MLSys·im: First-Principles Infrastructure Modeling for Machine Learning Systems"). Align each identity-claiming statement to the paper title. This covers user-facing name-claims only — the places where mlsysim describes itself. Descriptive uses of "analytical framework" as a technical category inside the paper and related technical prose are retained (they situate mlsysim among other analytical tools like Paleo, Calculon, Vidur; those uses are legitimate). - mlsysim/pyproject.toml : project description - mlsysim/mlsysim/cli/main.py : `mlsysim --help` text - mlsysim/docs/tutorials/index.qmd: tutorial landing blurb - mlsysim/tutorial/prerequisites.md: prerequisites preamble	2026-04-24 15:59:03 -04:00
Vijay Janapa Reddi	24ca3b0ef9	feat(mlsysim): complete ISCA tutorial package — backward design + 94 slides Full-day tutorial package for ISCA 2026: Tutorial Design (DESIGN.md, 639 lines): - Backward design with 4 transfer goals, 6 enduring understandings - 5 designed "aha moments" with predict-then-reveal structure - Hour-by-hour schedule with 40% hands-on minimum - Capstone: multi-region fleet design under budget/latency/carbon constraints - Facilitation notes, energy management, common pitfalls Slides (3,081 lines LaTeX): - Parts 0-4: Welcome, Iron Law, Serving, Compression, Distributed - Parts 5-9: Economics, DSE, TinyML, Advanced, Wrap-up - ~94 slides with live demos using real mlsysim API calls - Speaker notes on every exercise slide Supporting Materials: - exercises.md: 8 hands-on exercises with expected answers - cheatsheet.md: single-page reference card (Iron Law + top equations) - prerequisites.md: setup instructions + troubleshooting FAQ	2026-04-01 19:02:23 -04:00

Author

SHA1

Message

Date

Vijay Janapa Reddi

1eb30f5f86

fix(mlsysim): harden release QA and paper artifacts

Align the MLSys·im code, docs, paper, website, workflows, and lab wheel for the 0.1.1 release. This also fixes runtime/API issues found during release review and prepares the paper PDF plus archive package.

2026-04-25 10:06:01 -04:00

Vijay Janapa Reddi

0745a5fb73

mlsysim: align package identity copy with paper title

Four user-facing identity statements referenced an earlier working title
("A Composable Analytical Framework for Machine Learning Systems") that
no longer matches the actual paper title fixed in 0.1.1 ("MLSys·im:
First-Principles Infrastructure Modeling for Machine Learning Systems").
Align each identity-claiming statement to the paper title.

This covers user-facing *name-claims* only — the places where mlsysim
describes itself. Descriptive uses of "analytical framework" as a
technical category inside the paper and related technical prose are
retained (they situate mlsysim among other analytical tools like
Paleo, Calculon, Vidur; those uses are legitimate).

- mlsysim/pyproject.toml          : project description
- mlsysim/mlsysim/cli/main.py     : `mlsysim --help` text
- mlsysim/docs/tutorials/index.qmd: tutorial landing blurb
- mlsysim/tutorial/prerequisites.md: prerequisites preamble

2026-04-24 15:59:03 -04:00

Vijay Janapa Reddi

24ca3b0ef9

feat(mlsysim): complete ISCA tutorial package — backward design + 94 slides

Full-day tutorial package for ISCA 2026:

Tutorial Design (DESIGN.md, 639 lines):
- Backward design with 4 transfer goals, 6 enduring understandings
- 5 designed "aha moments" with predict-then-reveal structure
- Hour-by-hour schedule with 40% hands-on minimum
- Capstone: multi-region fleet design under budget/latency/carbon constraints
- Facilitation notes, energy management, common pitfalls

Slides (3,081 lines LaTeX):
- Parts 0-4: Welcome, Iron Law, Serving, Compression, Distributed
- Parts 5-9: Economics, DSE, TinyML, Advanced, Wrap-up
- ~94 slides with live demos using real mlsysim API calls
- Speaker notes on every exercise slide

Supporting Materials:
- exercises.md: 8 hands-on exercises with expected answers
- cheatsheet.md: single-page reference card (Iron Law + top equations)
- prerequisites.md: setup instructions + troubleshooting FAQ

2026-04-01 19:02:23 -04:00

3 Commits