deploy: ef39882fa1e13740d2530c7a0637bd1f1a822b68

author: byrnHDF <byrnHDF@users.noreply.github.com> 2023-11-16 13:49:28 (GMT)
committer: byrnHDF <byrnHDF@users.noreply.github.com> 2023-11-16 13:49:28 (GMT)
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+  <div class="headertitle">
+<div class="title">Writing by Pattern </div>  </div>
+</div><!--header-->
+<div class="contents">
+<div class="textblock"><p>Navigate back: <a class="el" href="index.html">Main</a> / <a class="el" href="_getting_started.html">Getting Started with HDF5</a> / <a class="el" href="_intro_par_h_d_f5.html">A Brief Introduction to Parallel HDF5</a> </p><hr  />
+<p>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.</p>
+<p>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.</p>
+<table class="doxtable">
+<tr>
+<th><b>Figure a</b> C Example </th><th><b>Figure b</b> Fortran Example </th></tr>
+<tr>
+<td><div class="image">
+<img src="ppatt_figa.gif" alt=""/>
+</div>
+  </td><td><div class="image">
+<img src="ppatt_figb.gif" alt=""/>
+</div>
+   </td></tr>
+</table>
+<p>The C and Fortran 90 examples use four processes to write the pattern shown above. Each process defines a hyperslab by: </p><ul>
+<li>Specifying a stride of 2 for each dimension, which indicates that you wish to write to every other position along a dimension. </li>
+<li>Specifying a different offset for each process: <table class="doxtable">
+<tr>
+<th rowspan="3"><b>C</b></th><th>Process 0</th><th>Process 1</th><th>Process 2</th><th>Process 3 </th></tr>
+<tr>
+<td>offset[0] = 0</td><td>offset[0] = 1</td><td>offset[0] = 0</td><td>offset[0] = 1 </td></tr>
+<tr>
+<td>offset[1] = 0</td><td>offset[1] = 0</td><td>offset[1] = 1</td><td>offset[1] = 1 </td></tr>
+<tr>
+<th rowspan="3"><b>Fortran</b></th><th>Process 0</th><th>Process 1</th><th>Process 2</th><th>Process 3 </th></tr>
+<tr>
+<td>offset(1) = 0</td><td>offset(1) = 0</td><td>offset(1) = 1</td><td>offset(1) = 1 </td></tr>
+<tr>
+<td>offset(2) = 0</td><td>offset(2) = 1</td><td>offset(2) = 0</td><td>offset(2) = 1  </td></tr>
+</table>
+</li>
+<li>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: <table class="doxtable">
+<tr>
+<th><b>C</b></th><th>Fortran </th></tr>
+<tr>
+<td>count[0] = 4</td><td>count(1) = 2 </td></tr>
+<tr>
+<td>count[1] = 2</td><td>count(2) = 4  </td></tr>
+</table>
+</li>
+</ul>
+<p>For example, the offset, count, and stride parameters for Process 2 would look like: </p><table class="doxtable">
+<tr>
+<th><b>Figure a</b> C Example </th><th><b>Figure b</b> Fortran Example </th></tr>
+<tr>
+<td><div class="image">
+<img src="ppatt_figc.gif" alt=""/>
+</div>
+  </td><td><div class="image">
+<img src="ppatt_figd.gif" alt=""/>
+</div>
+   </td></tr>
+</table>
+<p>Below are example programs for writing hyperslabs by pattern in Parallel HDF5: </p><table class="doxtable">
+<tr>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Parallel/ph5_hyperslab_by_pattern.c">hyperslab_by_pattern.c</a>   </td></tr>
+<tr>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Fortran/H5Parallel/ph5_f90_hyperslab_by_pattern.F90">hyperslab_by_pattern.F90</a>   </td></tr>
+</table>
+<p>The following is the output from h5dump for the HDF5 file created in this example: </p><div class="fragment"><div class="line">HDF5 <span class="stringliteral">&quot;SDS_pat.h5&quot;</span> {</div>
+<div class="line">GROUP <span class="stringliteral">&quot;/&quot;</span> {</div>
+<div class="line">   DATASET <span class="stringliteral">&quot;IntArray&quot;</span> {</div>
+<div class="line">      DATATYPE  <a class="code" href="group___p_d_t_s_t_d.html#ga37e8a6be7ee64587c2a282b965019bb8">H5T_STD_I32BE</a>  </div>
+<div class="line">      DATASPACE  SIMPLE { ( 8, 4 ) / ( 8, 4 ) } </div>
+<div class="line">      DATA {</div>
+<div class="line">         1, 3, 1, 3,</div>
+<div class="line">         2, 4, 2, 4,</div>
+<div class="line">         1, 3, 1, 3,</div>
+<div class="line">         2, 4, 2, 4,</div>
+<div class="line">         1, 3, 1, 3,</div>
+<div class="line">         2, 4, 2, 4,</div>
+<div class="line">         1, 3, 1, 3,</div>
+<div class="line">         2, 4, 2, 4</div>
+<div class="line">      } </div>
+<div class="line">   } </div>
+<div class="line">} </div>
+<div class="line">} </div>
+<div class="ttc" id="agroup___p_d_t_s_t_d_html_ga37e8a6be7ee64587c2a282b965019bb8"><div class="ttname"><a href="group___p_d_t_s_t_d.html#ga37e8a6be7ee64587c2a282b965019bb8">H5T_STD_I32BE</a></div><div class="ttdeci">#define H5T_STD_I32BE</div><div class="ttdef"><b>Definition:</b> H5Tpublic.h:305</div></div>
+</div><!-- fragment --><p> The h5dump utility is written in C so the output is in C order.</p>
+<hr  />
+<p> Navigate back: <a class="el" href="index.html">Main</a> / <a class="el" href="_getting_started.html">Getting Started with HDF5</a> / <a class="el" href="_intro_par_h_d_f5.html">A Brief Introduction to Parallel HDF5</a> </p>
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author	byrnHDF <byrnHDF@users.noreply.github.com>	2023-11-16 13:49:28 (GMT)
committer	byrnHDF <byrnHDF@users.noreply.github.com>	2023-11-16 13:49:28 (GMT)
commit	4f20d880c97be1249f8d89ced95f72836dbf3ee0 (patch)
tree	30d8dcb282134b7126b092796f2be00d2d97bd3c /develop/_intro_par_pattern.html
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