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Vijay Janapa ReddiandClaude Opus 4.6
a78f1bd8b0
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>
47 lines
888 B
Plaintext
47 lines
888 B
Plaintext
# systems.registry { #mlsysim.systems.registry }
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`systems.registry`
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## Classes
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| Name | Description |
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| [Clusters](#mlsysim.systems.registry.Clusters) | Vetted Production Clusters. |
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| [Fabrics](#mlsysim.systems.registry.Fabrics) | Vetted Network Fabrics. |
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| [Nodes](#mlsysim.systems.registry.Nodes) | Vetted Reference Nodes. |
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| [Tiers](#mlsysim.systems.registry.Tiers) | Vetted Deployment Tiers. |
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### Clusters { #mlsysim.systems.registry.Clusters }
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```python
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systems.registry.Clusters()
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```
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Vetted Production Clusters.
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### Fabrics { #mlsysim.systems.registry.Fabrics }
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```python
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systems.registry.Fabrics()
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```
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Vetted Network Fabrics.
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### Nodes { #mlsysim.systems.registry.Nodes }
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```python
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systems.registry.Nodes()
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```
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Vetted Reference Nodes.
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### Tiers { #mlsysim.systems.registry.Tiers }
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```python
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systems.registry.Tiers()
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```
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Vetted Deployment Tiers.
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