Segment 18

This sub-session finalized the unified budget-based memory manager for cuzk by deploying the fixed binary to a remote 755 GiB machine, reconfiguring from auto budget to an explicit 400 GiB to avoid OOM from co-resident Curio processes, and successfully running all 30 partitions concurrently with 3/3 proofs passing verification at 0.759 proofs/min and RSS peaking at 488 GiB then returning to baseline. After confirming the memory manager works correctly, the assistant pivoted to implementing a real-time status API: designed a JSON schema for pipeline progress, limiter states, major allocations, and GPU worker states; created a new `status.rs` module in cuzk-core with a `StatusTracker` backed by `RwLock` and serializable snapshot types; wired the tracker into the Engine lifecycle at key points (job registration, SYNTH_START/END, GPU_PICKUP/END, job completion); added a `status_listen` config option to `DaemonConfig`; and extended `process_partition_result` to accept the tracker, laying the groundwork for a lightweight HTTP server to serve the status endpoint.

Deploy and test unified budget-based memory manager on remote machineDiagnose and fix OOM by adjusting budget for co-resident processesComplete end-to-end proof verification with memory managerDesign JSON status API schema for pipeline monitoringImplement StatusTracker module with RwLock-backed snapshotsWire status tracker into Engine lifecycle eventsAdd status_listen config option to DaemonConfigExtend process_partition_result to accept status tracker

From Black Box to Observatory: Deploying the Unified Memory Manager and Building a Real-Time Status API for cuzk 4076 words

Chunks