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.