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numa-programming

numa-programming

github.com/mohitmishra786Development269299 installsUpdated 18w ago
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About numa-programming

A NUMA programming skill for developers working on multi-socket servers and performance-sensitive software. It covers topology detection, memory and thread placement, data structures, and diagnosing remote access.

Key features

  1. 01Inspect NUMA topology and node distances
  2. 02Bind processes, threads, and memory
  3. 03Allocate and migrate memory with libnuma
  4. 04Design per-node data structures
  5. 05Diagnose remote access with perf
  6. 06Visualize hardware layout with lstopo

Use cases

  1. 01Investigate poor scaling on multi-socket systems
  2. 02Keep database or cache memory local
  3. 03Design per-node pools for sharded allocators
  4. 04Compare local and remote memory access

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/mohitmishra786/low-level-dev-skills --skill numa-programming

After installing, type/numa-programmingin Claude Code to confirm it loaded.

Details

From the project README

NUMA Programming

Purpose

Guide agents through NUMA-aware programming: topology detection with numactl and sysfs, libnuma API (numa_alloc_onnode, mbind, set_mempolicy), process binding with numactl, NUMA-aware data structures, remote access diagnosis with perf stat, and lstopo visualization.

When to Use

  • Multi-socket server shows poor scaling despite low CPU utilization
  • Memory bandwidth saturation on one NUMA node
  • Binding database or cache process to local memory
  • Designing per-node freelists or sharded allocators
  • Measuring remote vs local memory access latency
  • Tuning HPC, DPDK, or custom allocator for socket locality

Workflow

1. Topology detection
# Hardware topology summary
numactl --hardware

# Detailed topology with distances
lstopo --of console

# sysfs nodes
ls /sys/devices/system/node/
cat /sys/devices/system/node/node0/meminfo
cat /sys/devices/system/node/node0/cpulist

Typical output:

available: 2 nodes (0-1)
node 0 cpus: 0-15
node 0 size: 65536 MB
node 1 cpus: 16-31
node 1 size: 65536 MB
node distances:
node   0   1
  0:  10  21
  1:  21  10

Distance 10 = local, higher = remote (cross-socket).

2. Process binding with numactl
# Bind to node 0 CPUs and memory
numactl --cpunodebind=0 --membind=0 ./myapp

# Interleave memory across all nodes
numactl --interleave=all ./myapp

# Preferred node (fallback if full)
numactl --preferred=0 ./myapp

# Show process NUMA policy
numactl --show
cat /proc/self/numa_maps
3. libnuma API
#include <numa.h>
#include <numaif.h>
#include <stdio.h>

int main(void) {
    if (numa_available() < 0) {
        fprintf(stderr, "NUMA not available\n");
        return 1;
    }
    int node = numa_node_of_cpu(0);
    printf("CPU 0 on node %d\n", node);

    // Allocate on specific node
    size_t size = 1024 * 1024 * 1024;
    void *mem = numa_alloc_onnode(size, 0);
    if (!mem) return 1;

    // Bind existing memory
    unsigned long nodemask = 1UL << 0;
    mbind(mem, size, MPOL_BIND, &nodemask, sizeof(nodemask) * 8, 0);

    numa_free(mem, size);
    return 0;
}
gcc -o numa_test numa_test.c -lnuma
APIPurpose
numa_alloc_onnodeAllocate on specific node
numa_alloc_localAllocate on current CPU's node
mbindSet policy on existing mapping
set_mempolicyDefault policy for subsequent allocs
move_pagesMigrate pages to target node
4. NUMA-aware data structures
// Per-node freelist — avoids cross-node synchronization
#define MAX_NODES 8
struct per_node_pool {
    void *free_list[MAX_NODES];
    int   node_count;
};

void *pool_alloc_numa(struct per_node_pool *p) {
    int node = numa_node_of_cpu(sched_getcpu());
    void *blk = p->free_list[node];
    if (blk) {
        p->free_list[node] = *(void **)blk;
        return blk;
    }
    return numa_alloc_onnode(BLOCK_SIZE, node);
}

Pin threads to cores on the same node as their pool.

5. Thread affinity alignment
# Pin thread 0 to CPU 0 (node 0), allocate on node 0
numactl --cpunodebind=0 --membind=0 ./worker --id 0
numactl --cpunodebind=1 --membind=1 ./worker --id 1
#include <pthread.h>
#include <sched.h>

cpu_set_t cpuset;
CPU_ZERO(&cpuset);
CPU_SET(target_cpu, &cpuset);
pthread_setaffinity_np(pthread_self(), sizeof(cpuset), &cpuset);
6. Remote access diagnosis
# Cache misses often spike with remote memory
perf stat -e cache-misses,cache-references,node-load-misses \
    numactl --cpunodebind=0 --membind=1 ./myapp

# Compare local vs remote binding
perf stat numactl --cpunodebind=0 --membind=0 ./myapp
perf stat numactl --cpunodebind=0 --membind=1 ./myapp
# NUMA hit/miss stats (if available)
perf stat -e node-loads,node-load-misses,node-stores ./myapp
7. Measuring remote penalty
// Microbenchmark: touch 1GB on local vs remote node
clock_t start = clock();
for (size_t i = 0; i < size; i += 4096)
    sum += ((char *)mem)[i];

Expect 1.5–3x slowdown for remote access depending on interconnect (QPI/UPI/Infinity Fabric).

8. lstopo visualization
# Graphical (if X11)
lstopo

# Text with memory/PCI
lstopo --of ascii

# Export for documentation
lstopo file.png

Shows: NUMA nodes, cores, caches, PCI devices — essential for DPDK NIC placement.

9. Decision tree
Poor scaling on multi-socket?
├── Check numactl --hardware
├── Verify thread and memory on same node
├── perf stat node-load-misses
├── Remote misses high?
│   ├── numactl --membind=local
│   └── Per-node data partitioning
└── Still slow → memory bandwidth bound; reduce sharing

Common Problems

SymptomCauseFix
OOM on one node despite free RAM elsewhereMPOL_BIND too strictUse --preferred or interleave
2x slower after scaling threadsRemote memory accessnumactl --membind matching CPU node
Inconsistent benchmark resultsOS migrated pagesmbind MPOL_BIND; mlock if needed
DPDK NIC on wrong socketPCI far from CPUlstopo; bind EAL to local socket
libnuma not foundPackage not installedapt install libnuma-dev
First-touch policy surpriseAlloc on node 0, run on node 1Allocate from bound thread

Related Skills

  • skills/allocators/custom-allocators — per-node pool allocators
  • skills/async-io/dpdk — rte_malloc_socket, NIC NUMA locality
  • skills/hpc/mpi — MPI process binding per NUMA node
  • skills/profilers/hardware-counters — cache miss measurement
  • skills/profilers/linux-perf — perf NUMA events
  • skills/low-level-programming/cpu-cache-opt — cache locality fundamentals

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