On 05/29/26 02:43, Qais Yousef wrote: > 7.0+ttwu+vincent is the best, right? Yes. > Have you verified your actual workload is seeing benefit? I think when > I scanned the github bug you references the original report was observing > a regression in some real setup, not this stressng tests. I am the reporter. The original issue (#7308) was observed as a drop in camera frame rate when running two parallel IMX477 streams via libcamera on RPi5 under kernel 6.12+. The camera pipeline is pipe-IPC-heavy (GStreamer / libcamera internal queues), so the regression surfaced there first in a real workload. To isolate the cause I moved to synthetic pipe benchmarks (stress-ng), which confirmed and quantified the regression cleanly. A Raspberry Pi developer (popcornmix) also posted IPC benchmark results on the issue, independently confirming the trend across kernel versions (6.6=2065 > 6.18=1805 > 6.12=1662 > 7.0=1570 Kops/s). The stress-ng pipe stressor is therefore not an artificial worst-case -- it directly exercises the code path that causes the real-world camera regression. That said, I agree stress-ng amplifies the effect, and I cannot give you an exact frame-rate number yet with the ttwu+vincent patches applied. > IPC drops 14% on 7.0 stock. Due to stalling you reckon? Yes. The branch misprediction rate explains most of it. On Cortex-A76 a branch mispredict costs ~13 cycles. Normalised by instruction count: Kernel branch-miss rate vs 6.6 ----------------- ----------------- ------ 6.6.78 0.178% ref 7.0.0 stock 0.427% +140% 7.0.0+ttwu+vincent 0.271% +52% The raw counts I reported yesterday were misleading because the instruction counts differ between kernels (different amounts of useful work). Apologies for not normalising upfront. The rate tells a cleaner story: stock EEVDF causes 2.4× more mispredictions per instruction than CFS, and ttwu+vincent brings that down to 1.5× -- significant improvement but not full recovery. > Do you have the full output? It would be interesting to use perf diff. A proper perf diff with resolved kernel symbols requires running against the matching kernel. I ran `perf report --no-children -s symbol` on each .data file while booted on the corresponding kernel. Key findings: 7.0.0 stock (flat, self-overhead): 12.98% finish_task_switch.isra.0 -> __schedule -> schedule -> anon_pipe_read 5.72% -> anon_pipe_write 1.38% 7.0.0+ttwu+vincent (flat, self-overhead): 19.62% finish_task_switch.isra.0 -> __schedule -> schedule -> anon_pipe_read 8.22% -> anon_pipe_write 4.34% The striking difference is in the pipe_write -> schedule() path: 1.38% on stock vs 4.34% with ttwu+vincent. The ttwu patches make pipe writers yield the CPU far more aggressively after each write, allowing the reader to run immediately. Stock EEVDF leaves this to the scheduler's own timing, which results in more latency and lower throughput. The higher absolute percentage in finish_task_switch for vincent is expected: vincent completes ~24% more pipe operations in the same wall time, so there are proportionally more context switches completing. On 6.6 (from the call-graph profile recorded separately), finish_task_switch is not visible as a top-level hotspot at all -- consistent with CFS handling this path much more efficiently. > Maybe there's higher rq lock contention. But this finish_task_switch and > __raw_spin_unlock_irqrestore are common to see, especially when there's > high context switch rate. Agreed -- I cannot rule out rq lock contention without perf diff with matched build-IDs. The pattern I see (finish_task_switch dominant, driven by pipe_read/write) is consistent with high context switch rate rather than a pathological lock. But your point about a 'hot variable' like rq->clock is noted -- I cannot confirm or deny that from flat profiles alone. > I hope perfetto trace will help visualize the pattern that led to this > higher context switching. I will work on getting a perfetto trace. Expecting to have that in a follow-up. Tom