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<p><span class="math notranslate nohighlight">\(\renewcommand{\AA}{\text{Å}}\)</span></p>
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<section id="parallel-algorithms">
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<h1><span class="section-number">4.4. </span>Parallel algorithms<a class="headerlink" href="#parallel-algorithms" title="Link to this heading"></a></h1>
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<p>LAMMPS is designed to enable running simulations in parallel using the
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MPI parallel communication standard with distributed data via domain
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decomposition. The parallelization aims to be efficient, and resulting
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in good strong scaling (= good speedup for the same system) and good
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weak scaling (= the computational cost of enlarging the system is
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proportional to the system size). Additional parallelization using GPUs
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or OpenMP can also be applied within the subdomain assigned to an MPI
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process. For clarity, most of the following illustrations show the 2d
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simulation case. The underlying algorithms in those cases, however,
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apply to both 2d and 3d cases equally well.</p>
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<div class="admonition note">
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<p class="admonition-title">Note</p>
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<p>The text and most of the figures in this chapter were adapted
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for the manual from the section on parallel algorithms in the
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<a class="reference internal" href="Intro_citing.html#lammps-paper"><span class="std std-ref">new LAMMPS paper</span></a>.</p>
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<li class="toctree-l1"><a class="reference internal" href="Developer_par_openmp.html">4.4.5. OpenMP Parallelism</a></li>
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