Writing and Reading Hyperslabs

1. Each process defines the memory and file hyperslabs.
2. Each process executes a partial write/read call which is either collective or independent.

C:  herr_t H5Sselect_hyperslab ( hid_t space_id (IN), 
                                 H5S_seloper_t operator (IN),
                                 const hssize_t *start (IN), 
                                 const hsize_t *stride (IN),
                                 const hsize_t *count (IN), 
                                 const hsize_t *block (IN) )

FORTRAN90: h5sselect_hyperslab_f ( space_id, operator, start, count, &
                                   hdferr, stride, block )

            space_id    IN: INTEGER(HID_T)
            operator    IN: INTEGER
            start       IN: INTEGER(HSSIZE_T), DIMENSION(*)
            count       IN: INTEGER(HSIZE_T), DIMENSION(*)
            hdferr      OUT: INTEGER
            stride      IN: INTEGER(HSIZE_T), DIMENSION(*), OPTIONAL
            block       IN: INTEGER(HSIZE_T), DIMENSION(*), OPTIONAL

The start (or offset), count, stride, and block parameters define the portion of the dataset to write to. By changing the values of these parameters you can write hyperslabs with Parallel HDF5 by contiguous hyperslab, by regularly spaced data in a column/row, by patterns, and by chunks:

• By Contiguous Hyperslab
• By Regularly Spaced Data (column or row)
• By Pattern
• By Chunks

The National Center for Supercomputing Applications
University of Illinois at Urbana-Champaign

hdfhelp@ncsa.uiuc.edu

Last Modified: December 6, 2001