StarPU Handbook - StarPU Language Bindings
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Deprecated List
Global STARPU_CLUSTER_AWAKE_WORKERS
Use STARPU_PARALLEL_WORKER_AWAKE_WORKERS
Global STARPU_CLUSTER_CREATE_FUNC
Use STARPU_PARALLEL_WORKER_CREATE_FUNC
Global STARPU_CLUSTER_CREATE_FUNC_ARG
Use STARPU_PARALLEL_WORKER_CREATE_FUNC_ARG
Global STARPU_CLUSTER_KEEP_HOMOGENEOUS
Use STARPU_PARALLEL_WORKER_KEEP_HOMOGENEOUS
Global starpu_cluster_machine (hwloc_obj_type_t cluster_level,...)
Use starpu_parallel_worker_init()
Global STARPU_CLUSTER_MAX_NB
Use STARPU_PARALLEL_WORKER_MAX_NB
Global STARPU_CLUSTER_MIN_NB
Use STARPU_PARALLEL_WORKER_MIN_NB
Global STARPU_CLUSTER_NB
Use STARPU_PARALLEL_WORKER_NB
Global STARPU_CLUSTER_NCORES
Use STARPU_PARALLEL_WORKER_NCORES
Global STARPU_CLUSTER_NEW
Use STARPU_PARALLEL_WORKER_NEW
Global STARPU_CLUSTER_PARTITION_ONE
Use STARPU_PARALLEL_WORKER_PARTITION_ONE
Global STARPU_CLUSTER_POLICY_NAME
Use STARPU_PARALLEL_WORKER_POLICY_NAME
Global STARPU_CLUSTER_POLICY_STRUCT
Use STARPU_PARALLEL_WORKER_POLICY_STRUCT
Global STARPU_CLUSTER_PREFERE_MIN
Use STARPU_PARALLEL_WORKER_PREFERE_MIN
Global starpu_cluster_print (struct starpu_cluster_machine *clusters)
Use starpu_parallel_worker_print()
Global STARPU_CLUSTER_TYPE
Use STARPU_PARALLEL_WORKER_TYPE
Global starpu_cluster_types
Use starpu_parallel_worker_types
Global starpu_codelet::cpu_func
Optional field which has been made deprecated. One should use instead the field starpu_codelet::cpu_funcs.
Global starpu_codelet::cuda_func
Optional field which has been made deprecated. One should use instead the starpu_codelet::cuda_funcs field.
Global starpu_codelet::opencl_func
Optional field which has been made deprecated. One should use instead the starpu_codelet::opencl_funcs field.
Global starpu_data_free_pinned_if_possible
Equivalent to starpu_free(). This macro is provided to avoid breaking old codes.
Global starpu_data_interface_ops::handle_to_pointer )(starpu_data_handle_t handle, unsigned node)
Use starpu_data_interface_ops::to_pointer instead. Return the current pointer (if any) for the handle on the given node.
Global starpu_data_malloc_pinned_if_possible
Equivalent to starpu_malloc(). This macro is provided to avoid breaking old codes.
Global starpu_free (void *A)
Free memory which has previously been allocated with starpu_malloc(). This function is deprecated, one should use starpu_free_noflag(). The function does nothing if the pointer is NULL. See DataManagementAllocation for more details.
Global starpu_mpi_initialize (void)
This function has been made deprecated. One should use instead the function starpu_mpi_init(). This function does not call MPI_Init(), it should be called beforehand.
Global starpu_mpi_initialize_extended (int *rank, int *world_size)
This function has been made deprecated. One should use instead the function starpu_mpi_init(). MPI will be initialized by starpumpi by calling MPI_Init_Thread(argc, argv, MPI_THREAD_SERIALIZED, ...).
Global STARPU_MULTIPLE_CPU_IMPLEMENTATIONS
Setting the field starpu_codelet::cpu_func with this macro indicates the codelet will have several implementations. The use of this macro is deprecated. One should always only define the field starpu_codelet::cpu_funcs.
Global STARPU_MULTIPLE_CUDA_IMPLEMENTATIONS
Setting the field starpu_codelet::cuda_func with this macro indicates the codelet will have several implementations. The use of this macro is deprecated. One should always only define the field starpu_codelet::cuda_funcs.
Global STARPU_MULTIPLE_HIP_IMPLEMENTATIONS
Setting the field starpu_codelet::hip_func with this macro indicates the codelet will have several implementations. The use of this macro is deprecated. One should always only define the field starpu_codelet::hip_funcs.
Global STARPU_MULTIPLE_OPENCL_IMPLEMENTATIONS
Setting the field starpu_codelet::opencl_func with this macro indicates the codelet will have several implementations. The use of this macro is deprecated. One should always only define the field starpu_codelet::opencl_funcs.
Global starpu_uncluster_machine (struct starpu_cluster_machine *clusters)
Use starpu_parallel_worker_shutdown()