Numabalance 流程代码#6
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Detailed code-level analysis of the Linux kernel's Automatic NUMA Balancing mechanism, covering: - Overall architecture and data flow - Core data structures (task_struct, mm_struct, vma_numab_state, numa_group) - Periodic scan triggering (task_tick_numa) - VMA scanning and PTE marking (task_numa_work / change_prot_numa) - NUMA hint fault handling (do_numa_page / numa_migrate_check) - Fault statistics and placement decisions (task_numa_fault / task_numa_placement) - Task migration execution (task_numa_migrate / task_numa_compare) - NUMA Group mechanism for shared memory workloads - Adaptive scan period adjustment (update_task_scan_period) - Memory migration decision (should_numa_migrate_memory with two-stage filter) - Memory Tiering support (NUMA_BALANCING_MEMORY_TIERING) - Key sysctl parameters reference - Complete flow diagrams Co-authored-by: Slim6882 <jackYoung0915@users.noreply.github.com>
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Root cause analysis for why programs configured to use remote NUMA node memory may see uneven distribution: 1. MPOL_BIND vs MPOL_INTERLEAVE confusion (BIND follows zonelist order) 2. NUMA Balancing auto-migrating pages back to local node (MPOL_F_MORON) 3. THP allocation bias toward local node 4. Zonelist fallback ordering in buddy allocator 5. Kernel internal allocations ignoring user mempolicy 6. First-touch allocation before mempolicy is set Includes diagnostic methods (numastat, numa_maps, vmstat), correct usage examples with code, and a decision tree for choosing the right memory policy. Co-authored-by: Slim6882 <jackYoung0915@users.noreply.github.com>
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Create a comprehensive analysis document for the Linux kernel's NUMA Balancing flow.
This document provides a deep dive into the NUMA balancing mechanism, detailing its five-stage process (periodic scan, PTE marking, NUMA hint fault handling, fault statistics, and task migration), core data structures, NUMA Group coordination, adaptive scan period adjustment, and Memory Tiering support.