Apply these best practices to keep the real-time loop predictable, fast, and easy to troubleshoot.
1. Keep the Critical Path Predictable
- Keep branch predictability high; prefer straight-line code in the critical path.
2. Use 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; }
3. Optimize Memory and Cache Layout
- 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.
4. Apply a 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();
5. Set Up 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);
6. Troubleshoot Performance Issues
- If you see frequent overruns: profile the loop, check IRQ affinity, and verify the 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 matters more than raw peak rate for reliable simulations.