Individual skill

openmp

Use when parallelizing loops or tasks with OpenMP: parallel for, schedules, reductions, data sharing, simd, target offload, OMP_* tuning, or false sharing. Not for multi-node work: use mpi.

.devin/skills/openmp/SKILL.md

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# OpenMP

OpenMP adds shared-memory parallelism to C, C++, and Fortran through `#pragma omp` directives, compiled in with `-fopenmp` on GCC and Clang. The runtime (libgomp on GCC 16.2, the grounding compiler) reads `OMP_*` variables at startup. Every command and directive below compiled and ran on GCC 16.

## Contract

| Field | Bound contract |
|---|---|
| Trigger | The user parallelizes loops on a multicore CPU, needs a reduction or task graph, wants `simd` hints, offloads to a GPU with `target`, tunes thread count and binding, or has a program that scales badly or gives wrong answers under threads. |
| Authority | Reversible local: writes only source files and compiled binaries in the working directory; rollback is deleting them. Environment variables are set for the run, not persisted. No remote mutation. |
| Side effect | Source and binaries on disk; runs start `OMP_NUM_THREADS` threads. |
| Done | The parallel program gives the same result as the serial version, the timing with `omp_get_wtime` shows the speedup, every shared variable written by more than one thread is under a `reduction`, `atomic`, or `critical`, and thread placement is confirmed by `OMP_DISPLAY_ENV`. |

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