Individual skill

matlab-use-thread-pool

Speed up local parfor, parfeval, or spmd by switching to a thread-based parallel pool. Trigger when a user describes slow or disappointing local parallel performance, even if they don't mention threads. Symptoms: parfor on a laptop/workstation is slower than expected or "only slightly faster than for"; parfor scales poorly with the number of workers; ticBytes/tocBytes, the Parallel Pool dashboard, mpiprofile, or system tools show large per-worker data transfer; large broadcast variables or sliced inputs make iterations slow; opening a process pool dominates a short workload; user mentions serialisation or data transfer overhead. Also trigger on any question about whether code or a function works on a thread pool. For non-pool MATLAB performance work (vectorisation, preallocation, profiling), defer to matlab-optimize-performance.

skills-catalog/parallel-computing/matlab-use-thread-pool/SKILL.md

Source commit 032b4b605999b1f4adecaac1efa1c9faad41adf6

What was checked

Matches the observed repository HEAD

Yes

Scanner rules are current

No

Repository scan complete

No

Skill scan complete

Yes

Observed behavior

Not checked yet

Last checked

Nov 3, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

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