New Features: - Distributed coordinator orchestrates 2x AMD EPYC 16-core servers - 64 total cores processing 12M parameter combinations (70% CPU limit) - Worker1 (pve-nu-monitor01): Direct SSH access at 10.10.254.106 - Worker2 (bd-host01): 2-hop SSH through worker1 (10.20.254.100) - Web UI at /cluster shows real-time status and AI recommendations - API endpoint /api/cluster/status serves cluster metrics - Auto-refresh every 30s with top strategies and actionable insights Files Added: - cluster/distributed_coordinator.py (510 lines) - Main orchestrator - cluster/distributed_worker.py (271 lines) - Worker1 script - cluster/distributed_worker_bd_clean.py (275 lines) - Worker2 script - cluster/monitor_bd_host01.sh - Monitoring script - app/api/cluster/status/route.ts (274 lines) - API endpoint - app/cluster/page.tsx (258 lines) - Web UI - cluster/CLUSTER_SETUP.md - Complete setup and access documentation Technical Details: - SQLite database tracks chunk assignments - 10,000 combinations per chunk (1,195 total chunks) - Multiprocessing.Pool with 70% CPU limit (22 cores per EPYC) - SSH/SCP for deployment and result collection - Handles 2-hop SSH for bd-host01 access - Results in CSV format with top strategies ranked Access Documentation: - Worker1: ssh root@10.10.254.106 - Worker2: ssh root@10.10.254.106 "ssh root@10.20.254.100" - Web UI: http://localhost:3001/cluster - See CLUSTER_SETUP.md for complete guide Status: Deployed and operational
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