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HDF5  1.14.4.3
API Reference
 
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Writing by Pattern

Navigate back: Main / Getting Started with HDF5 / A Brief Introduction to Parallel HDF5


This is another example of writing data into disconnected locations in a file. Each process writes data from the contiguous buffer into regularly scattered locations in the file.

Each process defines a hyperslab in the file as described below and writes data to it. The C and Fortran 90 examples below result in the same data layout in the file.

Figure a C Example Figure b Fortran Example

The C and Fortran 90 examples use four processes to write the pattern shown above. Each process defines a hyperslab by:

  • Specifying a stride of 2 for each dimension, which indicates that you wish to write to every other position along a dimension.
  • Specifying a different offset for each process:
    CProcess 0Process 1Process 2Process 3
    offset[0] = 0offset[0] = 1offset[0] = 0offset[0] = 1
    offset[1] = 0offset[1] = 0offset[1] = 1offset[1] = 1
    FortranProcess 0Process 1Process 2Process 3
    offset(1) = 0offset(1) = 0offset(1) = 1offset(1) = 1
    offset(2) = 0offset(2) = 1offset(2) = 0offset(2) = 1
  • Specifying the size of the slab to write. The count is the number of positions along a dimension to write to. If writing a 4 x 2 slab, then the count would be:
    CFortran
    count[0] = 4count(1) = 2
    count[1] = 2count(2) = 4

For example, the offset, count, and stride parameters for Process 2 would look like:

Figure a C Example Figure b Fortran Example

Below are example programs for writing hyperslabs by pattern in Parallel HDF5:

hyperslab_by_pattern.c
hyperslab_by_pattern.F90

The following is the output from h5dump for the HDF5 file created in this example:

HDF5 "SDS_pat.h5" {
GROUP "/" {
DATASET "IntArray" {
DATATYPE H5T_STD_I32BE
DATASPACE SIMPLE { ( 8, 4 ) / ( 8, 4 ) }
DATA {
1, 3, 1, 3,
2, 4, 2, 4,
1, 3, 1, 3,
2, 4, 2, 4,
1, 3, 1, 3,
2, 4, 2, 4,
1, 3, 1, 3,
2, 4, 2, 4
}
}
}
}
#define H5T_STD_I32BE
Definition H5Tpublic.h:317

The h5dump utility is written in C so the output is in C order.


Navigate back: Main / Getting Started with HDF5 / A Brief Introduction to Parallel HDF5