omp_get_active_level – Number of parallel regions omp_get_ancestor_thread_num – Ancestor thread ID omp_get_cancellation – Whether cancellation support is enabled omp_get_default_device – Get the default device for target regions omp_get_dynamic – Dynamic teams setting omp_get_level – Obtain the current nesting level omp_get_max_active_levels – Maximum number of active regions omp_get_max_threads – Maximum number of threads of parallel region omp_get_nested – Nested parallel regions omp_get_num_devices – Number of target devices omp_get_num_procs – Number of processors online omp_get_num_teams – Number of teams omp_get_num_threads – Size of the active team omp_get_proc_bind – Whether theads may be moved between CPUs omp_get_schedule – Obtain the runtime scheduling method omp_get_team_num – Get team number omp_get_team_size – Number of threads in a team omp_get_thread_limit – Maximum number of threads omp_get_thread_num – Current thread ID omp_in_parallel – Whether a parallel region is active omp_in_final – Whether in final or included task region omp_is_initial_device – Whether executing on the host device omp_set_default_device – Set the default device for target regions omp_set_dynamic – Enable/disable dynamic teams omp_set_max_active_levels – Limits the number of active parallel regions omp_set_nested – Enable/disable nested parallel regions omp_set_num_threads – Set upper team size limit omp_set_schedule – Set the runtime scheduling method omp_init_lock – Initialize simple lock omp_set_lock – Wait for and set simple lock omp_test_lock – Test and set simple lock if available omp_unset_lock – Unset simple lock omp_destroy_lock – Destroy simple lock omp_init_nest_lock – Initialize nested lock omp_set_nest_lock – Wait for and set nested lock omp_test_nest_lock – Test and set nested lock if available omp_unset_nest_lock – Unset nested lock omp_destroy_nest_lock – Destroy nested lock omp_get_wtick – Get timer precision omp_get_wtime – Elapsed wall clock time This manual documents the usage of libgomp, the GNU implementation of the OpenMP Application Programming Interface (API) for multi-platform shared-memory parallel programming in C/C++ and Fortran.