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@@ -136,7 +136,7 @@ <h3 id=julia_mpi ><a href="#julia_mpi" class=header-anchor >Julia MPI</a></h3>
 <pre><code class="sh hljs">$ <span class=hljs-built_in >export</span> MPICH_INTERFACE_HOSTNAME=localhost</code></pre>
 <p>and add <code>-host localhost</code> to the execution script:</p>
 <pre><code class="sh hljs">$ mpiexecjl -n 4 -host localhost julia --project ./hello_mpi.jl</code></pre></div></div>
-<p><em>For running Julia at scale on Piz Daint, refer to the &#91;Julia MPI GPU on Piz Daint&#93;&#40;#julia</em>mpi<em>gpu</em>on<em>piz</em>daint&#41; section._</p>
+<p>For running Julia at scale on Piz Daint, refer to the <a href="#julia_mpi_gpu_on_piz_daint">Julia MPI GPU on Piz Daint</a> section.</p>
 <h2 id=gpu_computing_on_piz_daint ><a href="#gpu_computing_on_piz_daint" class=header-anchor >GPU computing on Piz Daint</a></h2>
 <p>GPU computing on <a href="https://www.cscs.ch/computers/piz-daint/">Piz Daint</a> at <a href="https://www.cscs.ch">CSCS</a>. The supercomputer Piz Daint is composed of about 5700 compute nodes, each hosting a single Nvidia P100 16GB PCIe graphics card. We have a 6000 node hour allocation for our course on the system.</p>
 <div class=warning ><div class=title >⚠️ Warning&#33;</div>