mirror of https://github.com/harvard-edge/cs249r_book.git synced 2026-05-08 09:57:21 -05:00

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Vijay Janapa Reddi 4c31251b39 refactor: standardize paper directory structure across all three papers

Consistent layout for StaffML, mlsysim, and TinyTorch papers:
  - figures/ for all visual assets (SVGs, PDFs, PNGs)
  - scripts/ for utility scripts (analysis, validation, benchmarks)
  - tables/ for standalone table .tex files (StaffML only)
  - Makefile at root for building (created one for mlsysim)

Removed redundant build scripts (compile_paper.sh, build.sh) in
favor of Makefiles. Deleted sort_app_matrix.py (no longer needed).
Merged mlsysim images/ into figures/. Updated all references in
paper.tex, Makefiles, and CI workflows.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-04-05 15:57:55 -04:00

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TinyTorch Research Paper

Complete LaTeX source for the TinyTorch research paper.

Files

paper.tex - Main paper (~12-15 pages, two-column format)
references.bib - Bibliography (22 references)
Makefile - Build rules (requires LaTeX installation)

Quick Start: Get PDF

Option 1: Overleaf (Recommended)

Go to Overleaf.com
Create free account
Upload paper.tex and references.bib
Click "Recompile"
Download PDF

Option 2: Local Compilation

make

Requires LaTeX installation (MacTeX or BasicTeX).

Paper Details

Format: Two-column LaTeX (conference-standard)
Length: ~12-15 pages
Sections: 7 complete sections
Tables: 3 (framework comparison, learning objectives, performance benchmarks)
Code listings: 5 (syntax-highlighted Python examples)
References: 22 citations

Key Contributions

Progressive disclosure via monkey-patching - Novel pedagogical pattern
Systems-first curriculum design - Memory/FLOPs from Module 01
Historical milestone validation - 70 years of ML as learning modules
Constructionist framework building - Students build complete ML system

Framed as design contribution with empirical validation planned for Fall 2025.

Submission Venues

ArXiv - Immediate (establish priority)
SIGCSE 2026 - August deadline (may need 6-page condensed version)
ICER 2026 - After classroom data (full empirical study)

Ready for submission! Upload to Overleaf to get your PDF.

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