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<section id="accelerate-performance">
<h1><span class="section-number">7. </span>Accelerate performance<a class="headerlink" href="#accelerate-performance" title="Link to this heading"></a></h1>
<p>This section describes various methods for improving LAMMPS
performance for different classes of problems running on different
kinds of machines.</p>
<p>There are two thrusts to the discussion that follows. The first is
using code options that implement alternate algorithms that can
speed-up a simulation. The second is to use one of the several
accelerator packages provided with LAMMPS that contain code optimized
for certain kinds of hardware, including multicore CPUs, GPUs, and
Intel Xeon Phi co-processors.</p>
<p>The <a class="reference external" href="https://www.lammps.org/bench.html">Benchmark page</a> of the LAMMPS
website gives performance results for the various accelerator
packages discussed on the <a class="reference internal" href="Speed_packages.html"><span class="doc">Accelerator packages</span></a>
page, for several of the standard LAMMPS benchmark problems, as a
function of problem size and number of compute nodes, on different
hardware platforms.</p>
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<li class="toctree-l1"><a class="reference internal" href="Speed_bench.html">7.1. Benchmarks</a></li>
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<li class="toctree-l1"><a class="reference internal" href="Speed_tips.html">7.3. General tips</a></li>
<li class="toctree-l1"><a class="reference internal" href="Speed_packages.html">7.4. Accelerator packages</a></li>
<li class="toctree-l1"><a class="reference internal" href="Speed_compare.html">7.5. Comparison of various accelerator packages</a></li>
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