Vijay Janapa Reddi b7bf7a4ce5 docs(tutorial): simulated Q&A — 8 tough questions + 3 hallway conversations ...

Answer quality ranges 5-9/10. Weakest: MoE support (6/10), diffusion
models (5/10), TinyML depth (6/10) — all honest v0.2.0 gaps.
Strongest: spreadsheet comparison (7/10), inverse Roofline value (9/10),
CPI analogy for efficiency (9/10).
3 hallway conversations simulate real adoption decision dynamics.

2026-04-02 07:30:04 -04:00

..

assessment

docs(tutorial): simulated Q&A — 8 tough questions + 3 hallway conversations

2026-04-02 07:30:04 -04:00

slides

feat(staffml): deep verification + mock NeurIPS reviews + paper improvements

2026-04-02 07:28:41 -04:00

.gitignore

build(tutorial): add Makefile for SVG→PDF + xelatex slide build pipeline

2026-04-01 19:19:35 -04:00

cheatsheet.md

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

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

DESIGN.md

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

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

exercises.md

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

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

instructor-quickstart.md

docs(tutorial): instructor quick-start guide — 15 min adoption path

2026-04-01 23:19:21 -04:00

Makefile

build(tutorial): add Makefile for SVG→PDF + xelatex slide build pipeline

2026-04-01 19:19:35 -04:00

prerequisites.md

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

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