Conversation
…ryScanner` This refactors the task chunking approach inside `ProcessMemoryScanner.scanPIDs` to a sliding window iteration pattern utilizing a single `TaskGroup`. This avoids tail-latency delays and maximizes CPU utilization for concurrent process memory scanning. Co-authored-by: acebytes <2820910+acebytes@users.noreply.github.com>
|
👋 Jules, reporting for duty! I'm here to lend a hand with this pull request. When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down. I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job! For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with New to Jules? Learn more at jules.google/docs. For security, I will only act on instructions from the user who triggered this task. |
1 participant
💡 What:
Replaced static chunking (
stride().map { ... }) inProcessMemoryScanner.scanPIDswith a sliding windowTaskGroupexecution model.🎯 Why:
When processing tasks in chunks, the
TaskGrouphas to wait for the slowest task in the current chunk to finish before moving on to the next chunk (tail latency). A sliding window immediately spawns a new task as soon as any running task finishes, keeping the pipeline at maximum concurrency at all times. This eliminates tail latency stalls during intensive memory scanning across hundreds of processes. It also removes the memory overhead associated with building the intermediate chunked arrays.📊 Impact:
Significantly improves CPU utilization and overall throughput when retrieving memory stats across hundreds of running processes, especially since
proc_pid_rusagecan exhibit varying latency per process. Memory overhead is also slightly reduced by iteratingpidsdirectly without allocating intermediate sub-arrays.🔬 Measurement:
Run Cacheout and observe the responsiveness of the Memory tab (which populates process lists). The "proc_pid_rusage" operations should return results noticeably faster. Check total CPU time spent in
scanPIDsvia Instruments when polling is highly active.PR created automatically by Jules for task 4856898140936588349 started by @acebytes