Performance tuning

Introduction

C user functions for performance tuning.

Several functions are present in the file, each specific to different performance tuning parameters.

Advanced mesh numbering

 
  /* Force the target number of threads for mesh renumbering
     (by default, OMP_NUM_THREADS if OpenMP is enabled, 1 otherwise) */
 
  cs_renumber_set_n_threads(4);
 
  /* Set the minimum subset sizes when renumbering for threads. */
 
  cs_renumber_set_min_subset_size(64,   /* min. interior_subset_size */
                                  64);  /* min. boundary subset_size */
 
  /* Select renumbering algorithms */
 
  cs_renumber_set_algorithm
    (false,                           /* halo_adjacent_cells_last */
     false,                           /* halo_adjacent_i_faces_last */
     CS_RENUMBER_ADJACENT_LOW,        /* interior face base ordering  */
     CS_RENUMBER_CELLS_NONE,          /* cells_pre_numbering */
     CS_RENUMBER_CELLS_NONE,          /* cells_numbering */
     CS_RENUMBER_I_FACES_MULTIPASS,   /* interior faces numbering */
     CS_RENUMBER_B_FACES_THREAD,      /* boundary faces numbering */
     CS_RENUMBER_VERTICES_NONE);      /* vertices numbering */
 

Advanced partitioning

Example 1

  {
    /* Example:
 
       Force PT-SCOTCH or SCOTCH for preprocessing partitioning,
       and Hilbert SFC for main partitioning;
 
       Available algorithms (subject to build with external libraries for
       SCOTCH and METIS) are:
 
       CS_PARTITION_DEFAULT           Default partitioning, based on stage
       CS_PARTITION_SFC_MORTON_BOX    Morton (Z) curve in bounding box
       CS_PARTITION_SFC_MORTON_CUBE   Morton (Z) curve in bounding cube
       CS_PARTITION_SFC_HILBERT_BOX   Peano-Hilbert curve in bounding box
       CS_PARTITION_SFC_HILBERT_CUBE  Peano-Hilbert curve in bounding cube
       CS_PARTITION_SCOTCH            PT-SCOTCH or SCOTCH
       CS_PARTITION_METIS             ParMETIS or METIS
       CS_PARTITION_BLOCK             Unoptimized (naive) block partitioning */
 
    cs_partition_set_algorithm(CS_PARTITION_FOR_PREPROCESS,
                               CS_PARTITION_SCOTCH,
                               1,       /* rank_step */
                               false);  /* ignore periodicity in graph */
    cs_partition_set_algorithm(CS_PARTITION_MAIN,
                               CS_PARTITION_SFC_HILBERT_BOX,
                               1,       /* rank_step */
                               false);  /* ignore periodicity in graph */
 
  }

Example 2

  {
    /* Example: set partitioning write to file option.
     *
     * value of write flag:  0: never
     *                       1: for graph-based partitioning only (default)
     *                       2: always */
 
    cs_partition_set_write_level(0);
 
  }

Example 3

  {
    /* Example: force activation/deactivation of initial partitioning
     *          for preprocessing. */
 
    cs_partition_set_preprocess(false);
  }

Example 4

  {
    /* Example: define list of extra partitionings to build.
     *
     * Partitionings in this list will be output to file, and may be used for
     * subsequent calculations.
     *
     * When partitioning for both preprocessing and calculation stages, output to
     * file of partioning data or generation of additional partitionings
     * (see \ref cs_partition_add_partitions) will only be done for the
     * second stage. */
 
    int  n_extra_partitions = 3;
    int  extra_partitions_list[] = {12, 24, 48};
    cs_partition_add_partitions(n_extra_partitions, extra_partitions_list);
  }

Parallel IO

 
#if defined(HAVE_MPI_IO) && MPI_VERSION > 1
 
  /* Example fine-tune parallel IO settings.
 
     Available distributed block access methods
     (subject to build with MPI IO) are:
 
     CS_FILE_STDIO_SERIAL        Serial standard C IO
                                 (funnelled through rank 0 in parallel)
     CS_FILE_STDIO_PARALLEL      Per-process standard C IO
     CS_FILE_MPI_INDEPENDENT     Non-collective MPI-IO
                                 with independent file open and close
     CS_FILE_MPI_NON_COLLECTIVE  Non-collective MPI-IO
                                 with collective file open and close
     CS_FILE_MPI_COLLECTIVE      Collective MPI-IO
  */
 
  int block_rank_step = 8;
  int block_min_size = 1024*1024*8;
 
  MPI_Info hints = MPI_INFO_NULL;
  cs_file_access_t  method = CS_FILE_MPI_COLLECTIVE;
 
  /* Set MPI IO hints
 
     (see MPI-IO or your filesystem documentation;
     examples here may have no effect, improve, or degrade performance)
 
     For LUSTRE filesystems, many articles in the literature seem
     to recommend adjusting striping to improve performance.
 
     If using ROMIO, useful hints for collective buffering and data-sieving
     may take values: "enable", "disable", "automatic".
  */
 
  MPI_Info_create(&hints);
 
  MPI_Info_set(hints, "striping_factor", "8");
  MPI_Info_set(hints, "striping_unit", "8388608");
 
  MPI_Info_set(hints, "romio_cb_read", "automatic");
  MPI_Info_set(hints, "romio_cb_write", "automatic");
  MPI_Info_set(hints, "romio_ds_read", "automatic");
  MPI_Info_set(hints, "romio_ds_write", "automatic");
 
  /* Set default file acces methods and communicator stride */
 
  cs_file_set_default_access(CS_FILE_MODE_WRITE, method, hints);
 
  MPI_Info_set(hints, "collective_buffering", "true");
  MPI_Info_set(hints, "access_style", "read_once");
 
  cs_file_set_default_access(CS_FILE_MODE_READ, method, hints);
 
  cs_file_set_default_comm(block_rank_step, block_min_size, cs_glob_mpi_comm);
 
  cs_file_set_mpi_io_positionning(CS_FILE_MPI_INDIVIDUAL_POINTERS);
 
  MPI_Info_free(&hints);
 
#endif /* defined(HAVE_MPI_IO) && MPI_VERSION > 1 */
 

Matrix tuning

 
  /* Activate tuning of matrix-vector operations */
 
  /* Set tuning runs (defaults) */
 
  cs_matrix_set_tuning_runs(10,   /* n_min_products */
                            0.5); /* t_measure */
 
  /* Activate tuning for selected matrix fill types. */
 
  cs_matrix_set_tuning(CS_MATRIX_SCALAR, 1);
 
  cs_matrix_set_tuning(CS_MATRIX_SCALAR_SYM, 1);
 
  /* Force variant for selected types */
 
  cs_matrix_variant_t *mv
    = cs_matrix_variant_create(CS_MATRIX_MSR,
                               cs_glob_mesh->i_face_numbering);
  cs_matrix_variant_set_func(mv,
                             cs_glob_mesh->i_face_numbering,
                             CS_MATRIX_BLOCK_D,
                             2,
                             "default");
 
  cs_matrix_set_variant(CS_MATRIX_BLOCK_D, mv);
 
  cs_matrix_variant_destroy(&mv);
 
  /* Also allow tuning for multigrid for all expected levels
   * (we rarely have more than 10 or 11 levels except for huge meshes). */
 
  cs_grid_set_matrix_tuning(CS_MATRIX_SCALAR_SYM, 12);