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Expand walls.py from 17 to 22 walls, adding Serving (4), Batching (5), Streaming (6), Tail Latency (7), and Checkpoint (19). Update paper.tex with rewritten abstract, concrete LLaMA-3 motivating example, competitive positioning against Calculon/ASTRA-sim/Vidur, and new overview figure. Rebrand docs and tutorials to match.
15 lines
499 B
Plaintext
15 lines
499 B
Plaintext
# core.solver.SensitivitySolver { #mlsysim.core.solver.SensitivitySolver }
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```python
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core.solver.SensitivitySolver()
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```
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The 'Automated Architect' — identifies the binding constraint of a system.
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This meta-solver calculates the sensitivity of system throughput to
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individual hardware specifications (Compute, BW, Network, IO).
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Literature Source:
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1. Williams et al. (2009), "Roofline" (Sensitivity Foundations).
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2. Hennessy & Patterson (2019), "Computer Architecture: A Quantitative Approach."
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