APIC – Advance Real-time optimization best practice

Best Practices — Real-Time Performance

  • Keep branch predictability high; prefer straight-line code in the critical path.
  • Lockless handoff patterns

    Use SPSC ring buffers or double-buffer swaps to transfer frame-sized data to background threads.

    // Producer (real-time): write full frame descriptor
    if ((head+1) % SIZE != tail) { buffer[head] = desc; head = (head+1)%SIZE; }
    
    
    // Consumer (background): read descriptors and serialize
    if (tail != head) { desc = buffer[tail]; tail = (tail+1)%SIZE; }
    

    Memory and cache

    • Align hot structures to cache-line boundaries to avoid false sharing.
    • Use contiguous arrays of POD structs for fast sequential access.
    • Prefer object pools for frequently-created objects.

    Multi-rate strategy

    Keep the high-rate loop minimal. Offload heavy computation to sub-rate tasks and interpolate results when necessary.

    // example: 1kHz main, 250Hz mid, 62.5Hz low
    work_fast();
    if ((frameId & 0x3) == 0) work_mid();
    if ((frameId & 0xF) == 0) work_low();
    

    Logging & telemetry

    • Collect jitter histograms in-memory and flush summaries periodically.
    • Record small descriptors in the hot path and let the consumer write large blobs.
    // in-loop histogram (microseconds)
    static uint64_t hist[1024] = {0};
    uint64_t t = frameEndUs - frameStartUs;
    size_t bin = (t < 1023) ? t : 1023;
    __atomic_fetch_add(&hist[bin], 1, __ATOMIC_RELAXED);
    

    Troubleshooting

    • If you see frequent overruns: profile the loop, check IRQ affinity, and verify CPU frequency governor.
    • Investigate kernel messages for unexpected interrupts or kernel threads stealing cycles.
    • Reduce logging and move work to lower rates before changing hardware or the frame rate.
    Rule of thumb: If more than ~1% of frames are close to the budget, refactor work into sub-rates or reduce the frame frequency. Determinism > raw peak rate for reliable simulations.

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