Segment 26

In this sub-session, the assistant finalized the PI-controlled dispatch pacer by removing the problematic synthesis throughput cap, adding re-bootstrap detection with slow bootstrap timing to prevent pipeline collapse, and tuning PI parameters (pitune1-pitune4) to fix integral saturation. Additional refinements included fixing re-bootstrap spam by checking pipeline emptiness and adding a max_parallel_synthesis config field to cap CPU contention. After confirming stable performance, the assistant pivoted to production deployment setup, building the latest cuzk binary using the main Dockerfile and configuring a default memory budget with safety margin for vast.ai environments.

Tune PI controller parameters for dispatch pacerAdd re-bootstrap detection and slow bootstrap to dispatch pacerAdd max_parallel_synthesis configuration fieldBuild production Docker image for cuzkConfigure default memory budget for vast.ai environments

From Collapse to Production: Tuning the GPU Dispatch Pacer Through Four Iterations 2991 words

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