2 Commits

Author	SHA1	Message	Date
Vijay Janapa Reddi	a78f1bd8b0	feat(mlsysim): add documentation site, typed registries, and 6-solver core ... Complete MLSYSIM v0.1.0 implementation with: - Documentation website (Quarto): landing page with animated hero and capability carousel, 4 tutorials (hello world, LLM serving, distributed training, sustainability), hardware/model/fleet/infra catalogs, solver guide, whitepaper, math foundations, glossary, and full quartodoc API reference - Typed registry system: Hardware (18 devices across 5 tiers), Models (15 workloads), Systems (fleets, clusters, fabrics), Infrastructure (grid profiles, rack configs, datacenters) - Core types: Pint-backed Quantity, Metadata provenance tracking, custom exception hierarchy (OOMError, SLAViolation) - SimulationConfig with YAML/JSON loading and pre-validation - Scenario system tying workloads to systems with SLA constraints - Multi-level evaluation scorecard (feasibility, performance, macro) - Examples, tests, and Jetson Orin NX spec fix (100 → 25 TFLOP/s) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-07 15:59:51 -05:00
Vijay Janapa Reddi	f213260153	feat(mlsysim): align analytical solvers with industry-standard literature ... Updated solvers to use literature-grade models for: - Roofline Performance (Williams et al. 2009) - Transformer Scaling (6PD rule, Kaplan et al. 2020) - Training Memory (Shoeybi et al. 2019) - Pipeline Parallelism (Huang et al. 2019) - LLM Serving (Pope et al. 2023) - Reliability (Young-Daly 1974/2006) Introduced Hierarchical Communication Modeling and MFU/HFU metrics. Fixed test suite imports and return key mismatches. Updated Smart Doorbell scorecard reference in ml_systems.qmd. Restored core __init__.py exports for backward compatibility.	2026-03-07 15:02:26 -05:00