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https://github.com/harvard-edge/cs249r_book.git
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f213260153
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.
20 lines
619 B
Python
20 lines
619 B
Python
# mlsysim.core — Constants, Formulas, and Analytical Solvers
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from . import constants
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from . import config
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from . import evaluation
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from .constants import ureg, Q_
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from .formulas import *
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# Point to the new vetted registries
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from ..hardware.registry import Hardware
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from ..models.registry import Models
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from ..systems.registry import Systems, Tiers
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from ..infra.registry import Infra
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from .systems import Archetypes, Systems as LegacySystems
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from .datacenters import Datacenters
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from .deployment import Tiers as LegacyTiers
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from .engine import Engine
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from .scenarios import Scenario, Scenarios, Applications, Fleet
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