Vijay Janapa Reddi a9878ad6bd feat: import mlperf-edu pedagogical benchmark suite ...

Snapshot of the standalone /Users/VJ/GitHub/mlperf-edu/ repo as of
2026-04-16, brought into MLSysBook as a parked feature branch for
backup and iteration. Not for merge to dev.

Contents (88 files, ~2.3 MB):
- 16 reference workloads (cloud / edge / tiny / agent divisions)
- LoadGen proxy harness + SUT plugin protocol
- Compliance checker, autograder, hardware fingerprint
- Paper draft (paper.tex) with TikZ/SVG figure sources
- Three lab examples + practitioner workflow configs
- Workload + dataset YAML registries (single source of truth)

Excluded (per mlperf-edu/.gitignore + size constraints):
- Datasets (6.6 GB), checkpoints (260 MB), gpt2 weights (523 MB)
- Generated PDFs, .venv, build artifacts

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..

test_cli.py

feat: import mlperf-edu pedagogical benchmark suite

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test_loadgen.py

feat: import mlperf-edu pedagogical benchmark suite

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test_nanogpt.py

feat: import mlperf-edu pedagogical benchmark suite

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test_power.py

feat: import mlperf-edu pedagogical benchmark suite

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test_provenance.py

feat: import mlperf-edu pedagogical benchmark suite

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test_referee.py

feat: import mlperf-edu pedagogical benchmark suite

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