<li class="toctree-l4"><a class="reference internal" href="#building-lammps-for-multiple-platforms">2.2.3.1. Building LAMMPS for multiple platforms.</a></li>
<li class="toctree-l3"><a class="reference internal" href="#packages-that-require-extra-libraries">2.3.3. Packages that require extra libraries</a></li>
<li class="toctree-l3"><a class="reference internal" href="#packages-that-require-makefile-machine-settings">2.3.4. Packages that require Makefile.machine settings</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="#building-lammps-via-the-make-py-tool">2.4. Building LAMMPS via the Make.py tool</a></li>
<li class="toctree-l2"><a class="reference internal" href="#building-lammps-as-a-library">2.5. Building LAMMPS as a library</a><ul>
<li class="toctree-l3"><a class="reference internal" href="#additional-requirement-for-using-a-shared-library">2.5.3. <strong>Additional requirement for using a shared library:</strong></a></li>
<li class="toctree-l3"><a class="reference internal" href="#calling-the-lammps-library">2.5.4. Calling the LAMMPS library</a></li>
<span id="start-1"></span><h2>2.1. What’s in the LAMMPS distribution</h2>
<p>When you download a LAMMPS tarball you will need to unzip and untar
the downloaded file with the following commands, after placing the
tarball in an appropriate directory.</p>
<pre class="literal-block">
tar -xzvf lammps*.tar.gz
</pre>
<p>This will create a LAMMPS directory containing two files and several
sub-directories:</p>
<table border="1" class="docutils">
<colgroup>
<col width="21%" />
<col width="79%" />
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td>README</td>
<td>text file</td>
</tr>
<tr class="row-even"><td>LICENSE</td>
<td>the GNU General Public License (GPL)</td>
</tr>
<tr class="row-odd"><td>bench</td>
<td>benchmark problems</td>
</tr>
<tr class="row-even"><td>doc</td>
<td>documentation</td>
</tr>
<tr class="row-odd"><td>examples</td>
<td>simple test problems</td>
</tr>
<tr class="row-even"><td>potentials</td>
<td>embedded atom method (EAM) potential files</td>
</tr>
<tr class="row-odd"><td>src</td>
<td>source files</td>
</tr>
<tr class="row-even"><td>tools</td>
<td>pre- and post-processing tools</td>
</tr>
</tbody>
</table>
<p>Note that the <a class="reference external" href="http://lammps.sandia.gov/download.html">download page</a> also has links to download
pre-build Windows installers, as well as pre-built packages for
several widely used Linux distributions. It also has instructions
for how to download/install LAMMPS for Macs (via Homebrew), and to
download and update LAMMPS from SVN and Git repositories, which gives
you access to the up-to-date sources that are used by the LAMMPS
core developers.</p>
<p>The Windows and Linux packages for serial or parallel include
only selected packages and bug-fixes/upgrades listed on <a class="reference external" href="http://lammps.sandia.gov/bug.html">this page</a> up to a certain date, as
stated on the download page. If you want an executable with
non-included packages or that is more current, then you’ll need to
build LAMMPS yourself, as discussed in the next section.</p>
<p>Skip to the <a class="reference internal" href="#start-6"><span class="std std-ref">Running LAMMPS</span></a> sections for info on how to
launch a LAMMPS Windows executable on a Windows box.</p>
<hr class="docutils" />
</div>
<div class="section" id="making-lammps">
<span id="start-2"></span><h2>2.2. Making LAMMPS</h2>
<p>This section has the following sub-sections:</p>
<ul class="simple">
<li><a class="reference internal" href="#start-2-1"><span class="std std-ref">Read this first</span></a></li>
<li><a class="reference internal" href="#start-2-2"><span class="std std-ref">Steps to build a LAMMPS executable</span></a></li>
<li><a class="reference internal" href="#start-2-3"><span class="std std-ref">Common errors that can occur when making LAMMPS</span></a></li>
This gives preference to a file you have created/edited and put in
src/MAKE/MINE.</p>
<p>Note that on a multi-processor or multi-core platform you can launch a
parallel make, by using the “-j” switch with the make command, which
will build LAMMPS more quickly.</p>
<p>If you get no errors and an executable like <strong>lmp_mpi</strong> or <strong>lmp_serial</strong>
or <strong>lmp_mac</strong> is produced, then you’re done; it’s your lucky day.</p>
<p>Note that by default only a few of LAMMPS optional packages are
installed. To build LAMMPS with optional packages, see <a class="reference internal" href="#start-3"><span class="std std-ref">this section</span></a> below.</p>
</div>
<div class="section" id="step-1">
<h4>2.2.2.2. Step 1</h4>
<p>If Step 0 did not work, you will need to create a low-level Makefile
for your machine, like Makefile.foo. You should make a copy of an
existing Makefile.* in src/MAKE or one of its sub-directories as a
starting point. The only portions of the file you need to edit are
the first line, the “compiler/linker settings” section, and the
“LAMMPS-specific settings” section. When it works, put the edited
file in src/MAKE/MINE and it will not be altered by any future LAMMPS
updates.</p>
</div>
<div class="section" id="step-2">
<h4>2.2.2.3. Step 2</h4>
<p>Change the first line of Makefile.foo to list the word “foo” after the
“#”, and whatever other options it will set. This is the line you
will see if you just type “make”.</p>
</div>
<div class="section" id="step-3">
<h4>2.2.2.4. Step 3</h4>
<p>The “compiler/linker settings” section lists compiler and linker
settings for your C++ compiler, including optimization flags. You can
use g++, the open-source GNU compiler, which is available on all Unix
systems. You can also use mpicxx which will typically be available if
MPI is installed on your system, though you should check which actual
compiler it wraps. Vendor compilers often produce faster code. On
boxes with Intel CPUs, we suggest using the Intel icc compiler, which
can be downloaded from <a class="reference external" href="http://www.intel.com/software/products/noncom">Intel’s compiler site</a>.</p>
<p>If building a C++ code on your machine requires additional libraries,
then you should list them as part of the LIB variable. You should
not need to do this if you use mpicxx.</p>
<p>The DEPFLAGS setting is what triggers the C++ compiler to create a
dependency list for a source file. This speeds re-compilation when
source (*.cpp) or header (*.h) files are edited. Some compilers do
not support dependency file creation, or may use a different switch
than -D. GNU g++ and Intel icc works with -D. If your compiler can’t
create dependency files, then you’ll need to create a Makefile.foo
patterned after Makefile.storm, which uses different rules that do not
involve dependency files. Note that when you build LAMMPS for the
first time on a new platform, a long list of *.d files will be printed
out rapidly. This is not an error; it is the Makefile doing its
normal creation of dependencies.</p>
</div>
<div class="section" id="step-4">
<h4>2.2.2.5. Step 4</h4>
<p>The “system-specific settings” section has several parts. Note that
if you change any -D setting in this section, you should do a full
re-compile, after typing “make clean” (which will describe different
clean options).</p>
<p>The LMP_INC variable is used to include options that turn on ifdefs
within the LAMMPS code. The options that are currently recogized are:</p>
<ul class="simple">
<li>-DLAMMPS_GZIP</li>
<li>-DLAMMPS_JPEG</li>
<li>-DLAMMPS_PNG</li>
<li>-DLAMMPS_FFMPEG</li>
<li>-DLAMMPS_MEMALIGN</li>
<li>-DLAMMPS_XDR</li>
<li>-DLAMMPS_SMALLBIG</li>
<li>-DLAMMPS_BIGBIG</li>
<li>-DLAMMPS_SMALLSMALL</li>
<li>-DLAMMPS_LONGLONG_TO_LONG</li>
<li>-DLAMMPS_EXCEPTIONS</li>
<li>-DPACK_ARRAY</li>
<li>-DPACK_POINTER</li>
<li>-DPACK_MEMCPY</li>
</ul>
<p>The read_data and dump commands will read/write gzipped files if you
compile with -DLAMMPS_GZIP. It requires that your machine supports
the “popen()” function in the standard runtime library and that a gzip
executable can be found by LAMMPS during a run.</p>
<div class="admonition note">
<p class="first admonition-title">Note</p>
<p class="last">on some clusters with high-speed networks, using the fork()
library calls (required by popen()) can interfere with the fast
communication library and lead to simulations using compressed output
or input to hang or crash. For selected operations, compressed file
I/O is also available using a compression library instead, which are
provided in the COMPRESS package. From more details about compiling
LAMMPS with packages, please see below.</p>
</div>
<p>If you use -DLAMMPS_JPEG, the <a class="reference internal" href="dump_image.html"><span class="doc">dump image</span></a> command
will be able to write out JPEG image files. For JPEG files, you must
also link LAMMPS with a JPEG library, as described below. If you use
-DLAMMPS_PNG, the <a class="reference internal" href="dump.html"><span class="doc">dump image</span></a> command will be able to write
out PNG image files. For PNG files, you must also link LAMMPS with a
PNG library, as described below. If neither of those two defines are
used, LAMMPS will only be able to write out uncompressed PPM image
files.</p>
<p>If you use -DLAMMPS_FFMPEG, the <a class="reference internal" href="dump_image.html"><span class="doc">dump movie</span></a> command
will be available to support on-the-fly generation of rendered movies
the need to store intermediate image files. It requires that your
machines supports the “popen” function in the standard runtime library
and that an FFmpeg executable can be found by LAMMPS during the run.</p>
<div class="admonition note">
<p class="first admonition-title">Note</p>
<p class="last">Similar to the note above, this option can conflict with
high-speed networks, because it uses popen().</p>
</div>
<p>Using -DLAMMPS_MEMALIGN=<bytes> enables the use of the
posix_memalign() call instead of malloc() when large chunks or memory
are allocated by LAMMPS. This can help to make more efficient use of
vector instructions of modern CPUS, since dynamically allocated memory
has to be aligned on larger than default byte boundaries (e.g. 16
bytes instead of 8 bytes on x86 type platforms) for optimal
performance.</p>
<p>If you use -DLAMMPS_XDR, the build will include XDR compatibility
files for doing particle dumps in XTC format. This is only necessary
if your platform does have its own XDR files available. See the
Restrictions section of the <a class="reference internal" href="dump.html"><span class="doc">dump</span></a> command for details.</p>
<p>Use at most one of the -DLAMMPS_SMALLBIG, -DLAMMPS_BIGBIG,
-DLAMMPS_SMALLSMALL settings. The default is -DLAMMPS_SMALLBIG. These
settings refer to use of 4-byte (small) vs 8-byte (big) integers
within LAMMPS, as specified in src/lmptype.h. The only reason to use
the BIGBIG setting is to enable simulation of huge molecular systems
(which store bond topology info) with more than 2 billion atoms, or to
track the image flags of moving atoms that wrap around a periodic box
more than 512 times. Normally, the only reason to use SMALLSMALL is
if your machine does not support 64-bit integers, though you can use
SMALLSMALL setting if you are running in serial or on a desktop
machine or small cluster where you will never run large systems or for
long time (more than 2 billion atoms, more than 2 billion timesteps).
See the <a class="reference internal" href="#start-2-4"><span class="std std-ref">Additional build tips</span></a> section below for more
details on these settings.</p>
<p>Note that the USER-ATC package is not currently compatible with
-DLAMMPS_BIGBIG. Also the GPU package requires the lib/gpu library to
be compiled with the same setting, or the link will fail.</p>
<p>The -DLAMMPS_LONGLONG_TO_LONG setting may be needed if your system or
MPI version does not recognize “long long” data types. In this case a
“long” data type is likely already 64-bits, in which case this setting
will convert to that data type.</p>
<p>The -DLAMMPS_EXCEPTIONS setting can be used to activate alternative
versions of error handling inside of LAMMPS. This is useful when
external codes drive LAMMPS as a library. Using this option, LAMMPS
errors do not kill the caller. Instead, the call stack is unwound and
control returns to the caller. The library interface provides the
lammps_has_error() and lammps_get_last_error_message() functions to
detect and find out more about a LAMMPS error.</p>
<p>Using one of the -DPACK_ARRAY, -DPACK_POINTER, and -DPACK_MEMCPY
options can make for faster parallel FFTs (in the PPPM solver) on some
platforms. The -DPACK_ARRAY setting is the default. See the
<a class="reference internal" href="kspace_style.html"><span class="doc">kspace_style</span></a> command for info about PPPM. See
Step 6 below for info about building LAMMPS with an FFT library.</p>
</div>
<div class="section" id="step-5">
<h4>2.2.2.6. Step 5</h4>
<p>The 3 MPI variables are used to specify an MPI library to build LAMMPS
with. Note that you do not need to set these if you use the MPI
compiler mpicxx for your CC and LINK setting in the section above.
The MPI wrapper knows where to find the needed files.</p>
<p>If you want LAMMPS to run in parallel, you must have an MPI library
installed on your platform. If MPI is installed on your system in the
usual place (under /usr/local), you also may not need to specify these
3 variables, assuming /usr/local is in your path. On some large
parallel machines which use “modules” for their compile/link
environements, you may simply need to include the correct module in
your build environment, before building LAMMPS. Or the parallel
machine may have a vendor-provided MPI which the compiler has no
trouble finding.</p>
<p>Failing this, these 3 variables can be used to specify where the mpi.h
file (MPI_INC) and the MPI library file (MPI_PATH) are found and the
name of the library file (MPI_LIB).</p>
<p>If you are installing MPI yourself, we recommend Argonne’s MPICH2
or OpenMPI. MPICH can be downloaded from the <a class="reference external" href="http://www.mcs.anl.gov/research/projects/mpich2/">Argonne MPI site</a>. OpenMPI can
be downloaded from the <a class="reference external" href="http://www.open-mpi.org">OpenMPI site</a>.
Other MPI packages should also work. If you are running on a big
parallel platform, your system people or the vendor should have
already installed a version of MPI, which is likely to be faster
than a self-installed MPICH or OpenMPI, so find out how to build
and link with it. If you use MPICH or OpenMPI, you will have to
configure and build it for your platform. The MPI configure script
should have compiler options to enable you to use the same compiler
you are using for the LAMMPS build, which can avoid problems that can
arise when linking LAMMPS to the MPI library.</p>
<p>If you just want to run LAMMPS on a single processor, you can use the
dummy MPI library provided in src/STUBS, since you don’t need a true
MPI library installed on your system. See src/MAKE/Makefile.serial
for how to specify the 3 MPI variables in this case. You will also
need to build the STUBS library for your platform before making LAMMPS
itself. Note that if you are building with src/MAKE/Makefile.serial,
e.g. by typing “make serial”, then the STUBS library is built for you.</p>
<p>To build the STUBS library from the src directory, type “make
mpi-stubs”, or from the src/STUBS dir, type “make”. This should
create a libmpi_stubs.a file suitable for linking to LAMMPS. If the
build fails, you will need to edit the STUBS/Makefile for your
platform.</p>
<p>The file STUBS/mpi.c provides a CPU timer function called MPI_Wtime()
that calls gettimeofday() . If your system doesn’t support
gettimeofday() , you’ll need to insert code to call another timer.
Note that the ANSI-standard function clock() rolls over after an hour
or so, and is therefore insufficient for timing long LAMMPS
simulations.</p>
</div>
<div class="section" id="step-6">
<h4>2.2.2.7. Step 6</h4>
<p>The 3 FFT variables allow you to specify an FFT library which LAMMPS
uses (for performing 1d FFTs) when running the particle-particle
particle-mesh (PPPM) option for long-range Coulombics via the
ACML, and T3E. For backward compatability, using -DFFT_FFTW will use
the FFTW2 library. Using -DFFT_NONE will use the KISS library
described above.</p>
<p>You may also need to set the FFT_INC, FFT_PATH, and FFT_LIB variables,
so the compiler and linker can find the needed FFT header and library
files. Note that on some large parallel machines which use “modules”
for their compile/link environements, you may simply need to include
the correct module in your build environment. Or the parallel machine
may have a vendor-provided FFT library which the compiler has no
trouble finding.</p>
<p>FFTW is a fast, portable library that should also work on any
platform. You can download it from
<a class="reference external" href="http://www.fftw.org">www.fftw.org</a>. Both the legacy version 2.1.X and
the newer 3.X versions are supported as -DFFT_FFTW2 or -DFFT_FFTW3.
Building FFTW for your box should be as simple as ./configure; make.
Note that on some platforms FFTW2 has been pre-installed, and uses
renamed files indicating the precision it was compiled with,
e.g. sfftw.h, or dfftw.h instead of fftw.h. In this case, you can
specify an additional define variable for FFT_INC called -DFFTW_SIZE,
which will select the correct include file. In this case, for FFT_LIB
you must also manually specify the correct library, namely -lsfftw or
-ldfftw.</p>
<p>The FFT_INC variable also allows for a -DFFT_SINGLE setting that will
use single-precision FFTs with PPPM, which can speed-up long-range
calulations, particularly in parallel or on GPUs. Fourier transform
and related PPPM operations are somewhat insensitive to floating point
truncation errors and thus do not always need to be performed in
double precision. Using the -DFFT_SINGLE setting trades off a little
accuracy for reduced memory use and parallel communication costs for
transposing 3d FFT data. Note that single precision FFTs have only
been tested with the FFTW3, FFTW2, MKL, and KISS FFT options.</p>
</div>
<div class="section" id="step-7">
<h4>2.2.2.8. Step 7</h4>
<p>The 3 JPG variables allow you to specify a JPEG and/or PNG library
which LAMMPS uses when writing out JPEG or PNG files via the <a class="reference internal" href="dump_image.html"><span class="doc">dump image</span></a> command. These can be left blank if you do not
use the -DLAMMPS_JPEG or -DLAMMPS_PNG switches discussed above in Step
4, since in that case JPEG/PNG output will be disabled.</p>
<p>A standard JPEG library usually goes by the name libjpeg.a or
libjpeg.so and has an associated header file jpeglib.h. Whichever
JPEG library you have on your platform, you’ll need to set the
appropriate JPG_INC, JPG_PATH, and JPG_LIB variables, so that the
compiler and linker can find it.</p>
<p>A standard PNG library usually goes by the name libpng.a or libpng.so
and has an associated header file png.h. Whichever PNG library you
have on your platform, you’ll need to set the appropriate JPG_INC,
JPG_PATH, and JPG_LIB variables, so that the compiler and linker can
find it.</p>
<p>As before, if these header and library files are in the usual place on
your machine, you may not need to set these variables.</p>
</div>
<div class="section" id="step-8">
<h4>2.2.2.9. Step 8</h4>
<p>Note that by default only a few of LAMMPS optional packages are
installed. To build LAMMPS with optional packages, see <a class="reference internal" href="#start-3"><span class="std std-ref">this section</span></a> below, before proceeding to Step 9.</p>
</div>
<div class="section" id="step-9">
<h4>2.2.2.10. Step 9</h4>
<p>That’s it. Once you have a correct Makefile.foo, and you have
pre-built any other needed libraries (e.g. MPI, FFT, etc) all you need
to do from the src directory is type something like this:</p>
<p>As explained above, any of these 3 settings can be specified on the
LMP_INC line in your low-level src/MAKE/Makefile.foo.</p>
<p>The default is -DLAMMPS_SMALLBIG which allows for systems with up to
2^63 atoms and 2^63 timesteps (about 9e18). The atom limit is for
atomic systems which do not store bond topology info and thus do not
require atom IDs. If you use atom IDs for atomic systems (which is
the default) or if you use a molecular model, which stores bond
topology info and thus requires atom IDs, the limit is 2^31 atoms
(about 2 billion). This is because the IDs are stored in 32-bit
integers.</p>
<p>Likewise, with this setting, the 3 image flags for each atom (see the
<a class="reference internal" href="dump.html"><span class="doc">dump</span></a> doc page for a discussion) are stored in a 32-bit
integer, which means the atoms can only wrap around a periodic box (in
each dimension) at most 512 times. If atoms move through the periodic
box more than this many times, the image flags will “roll over”,
e.g. from 511 to -512, which can cause diagnostics like the
mean-squared displacement, as calculated by the <a class="reference internal" href="compute_msd.html"><span class="doc">compute msd</span></a> command, to be faulty.</p>
<p>To allow for larger atomic systems with atom IDs or larger molecular
systems or larger image flags, compile with -DLAMMPS_BIGBIG. This
stores atom IDs and image flags in 64-bit integers. This enables
atomic or molecular systems with atom IDS of up to 2^63 atoms (about
9e18). And image flags will not “roll over” until they reach 2^20 =
1048576.</p>
<p>If your system does not support 8-byte integers, you will need to
compile with the -DLAMMPS_SMALLSMALL setting. This will restrict the
total number of atoms (for atomic or molecular systems) and timesteps
to 2^31 (about 2 billion). Image flags will roll over at 2^9 = 512.</p>
<p>Note that in src/lmptype.h there are definitions of all these data
types as well as the MPI data types associated with them. The MPI
types need to be consistent with the associated C data types, or else
LAMMPS will generate a run-time error. As far as we know, the
settings defined in src/lmptype.h are portable and work on every
current system.</p>
<p>In all cases, the size of problem that can be run on a per-processor
basis is limited by 4-byte integer storage to 2^31 atoms per processor
(about 2 billion). This should not normally be a limitation since such
a problem would have a huge per-processor memory footprint due to
neighbor lists and would run very slowly in terms of CPU secs/timestep.</p>
<hr class="docutils" />
</div>
</div>
<div class="section" id="building-for-a-mac">
<span id="start-2-5"></span><h3>2.2.4. Building for a Mac</h3>
<p>OS X is BSD Unix, so it should just work. See the
src/MAKE/MACHINES/Makefile.mac and Makefile.mac_mpi files.</p>
<hr class="docutils" />
</div>
<div class="section" id="building-for-windows">
<span id="start-2-6"></span><h3>2.2.5. Building for Windows</h3>
<p>If you want to build a Windows version of LAMMPS, you can build it
yourself, but it may require some effort. LAMMPS expects a Unix-like
build environment for the default build procedure. This can be done
using either Cygwin or MinGW; the latter also exists as a ready-to-use
Linux-to-Windows cross-compiler in several Linux distributions. In
these cases, you can do the installation after installing several
unix-style commands like make, grep, sed and bash with some shell
utilities.</p>
<p>For Cygwin and the MinGW cross-compilers, suitable makefiles are
provided in src/MAKE/MACHINES. When using other compilers, like
Visual C++ or Intel compilers for Windows, you may have to implement
your own build system. Since none of the current LAMMPS core developers
has significant experience building executables on Windows, we are
happy to distribute contributed instructions and modifications, but
we cannot provide support for those.</p>
<p>With the so-called “Anniversary Update” to Windows 10, there is a
Ubuntu subsystem available for Windows, that can be installed and
then it can be used to compile/install LAMMPS as if you are running
on a Ubuntu Linux system.</p>
<p>As an alternative, you can download “daily builds” (and some older
<p>The source code for LAMMPS is structured as a set of core files which
are always included, plus optional packages. Packages are groups of
files that enable a specific set of features. For example, force
fields for molecular systems or granular systems are in packages.</p>
<p><a class="reference internal" href="Section_packages.html"><span class="doc">Section packages</span></a> in the manual has details
about all the packages, including specific instructions for building
LAMMPS with each package, which are covered in a more general manner
below.</p>
<p>You can see the list of all packages by typing “make package” from
within the src directory of the LAMMPS distribution. This also lists
various make commands that can be used to manipulate packages.</p>
<p>If you use a command in a LAMMPS input script that is part of a
package, you must have built LAMMPS with that package, else you will
get an error that the style is invalid or the command is unknown.
Every command’s doc page specfies if it is part of a package. You can
also type</p>
<pre class="literal-block">
lmp_machine -h
</pre>
<p>to run your executable with the optional <a class="reference internal" href="#start-7"><span class="std std-ref">-h command-line switch</span></a> for “help”, which will simply list the styles and
commands known to your executable, and immediately exit.</p>
<p>There are two kinds of packages in LAMMPS, standard and user packages.
More information about the contents of standard and user packages is
given in <a class="reference internal" href="Section_packages.html"><span class="doc">Section 4</span></a> of the manual. The
difference between standard and user packages is as follows:</p>
<p>Standard packages, such as molecule or kspace, are supported by the
LAMMPS developers and are written in a syntax and style consistent
with the rest of LAMMPS. This means we will answer questions about
them, debug and fix them if necessary, and keep them compatible with
future changes to LAMMPS.</p>
<p>User packages, such as user-atc or user-omp, have been contributed by
users, and always begin with the user prefix. If they are a single
command (single file), they are typically in the user-misc package.
Otherwise, they are a a set of files grouped together which add a
specific functionality to the code.</p>
<p>User packages don’t necessarily meet the requirements of the standard
packages. If you have problems using a feature provided in a user
package, you may need to contact the contributor directly to get help.
Information on how to submit additions you make to LAMMPS as single
files or either a standard or user-contributed package are given in
<a class="reference internal" href="Section_modify.html#mod-15"><span class="std std-ref">this section</span></a> of the documentation.</p>
<span id="start-3-3"></span><h3>2.3.3. Packages that require extra libraries</h3>
<p>A few of the standard and user packages require additional auxiliary
libraries. Many of them are provided with LAMMPS, in which case they
must be compiled first, before LAMMPS is built, if you wish to include
that package. If you get a LAMMPS build error about a missing
library, this is likely the reason. See the
<a class="reference internal" href="Section_packages.html"><span class="doc">Section 4</span></a> doc page for a list of
packages that have these kinds of auxiliary libraries.</p>
<p>The lib directory in the distribution has sub-directories with package
names that correspond to the needed auxiliary libs, e.g. lib/gpu.
Each sub-directory has a README file that gives more details. Code
for most of the auxiliary libraries is included in that directory.
Examples are the USER-ATC and MEAM packages.</p>
<p>A few of the lib sub-directories do not include code, but do include
instructions (and sometimes scripts) that automate the process of
downloading the auxiliary library and installing it so LAMMPS can link
to it. Examples are the KIM, VORONOI, USER-MOLFILE, and USER-SMD
packages.</p>
<p>The lib/python directory (for the PYTHON package) contains only a
choice of Makefile.lammps.* files. This is because no auxiliary code
or libraries are needed, only the Python library and other system libs
that should already available on your system. However, the
Makefile.lammps file is needed to tell LAMMPS which libs to use and
where to find them.</p>
<p>For libraries with provided code, the sub-directory README file
(e.g. lib/atc/README) has instructions on how to build that library.
This information is also summarized in <a class="reference internal" href="Section_packages.html"><span class="doc">Section packages</span></a>. Typically this is done by typing
<span id="start-3-4"></span><h3>2.3.4. Packages that require Makefile.machine settings</h3>
<p>A few packages require specific settings in Makefile.machine, to
either build or use the package effectively. These are the
USER-INTEL, KOKKOS, USER-OMP, and OPT packages, used for accelerating
code performance on CPUs or other hardware, as discussed in <a class="reference internal" href="Section_accelerate.html"><span class="doc">Section acclerate</span></a>.</p>
<p>A summary of what Makefile.machine changes are needed for each of
these packages is given in <a class="reference internal" href="Section_packages.html"><span class="doc">Section packages</span></a>.
The details are given on the doc pages that describe each of these
<p>You can also look at the following machine Makefiles in
src/MAKE/OPTIONS, which include the changes. Note that the USER-INTEL
and KOKKOS packages allow for settings that build LAMMPS for different
hardware. The USER-INTEL package builds for CPU and the Xeon Phi, the
KOKKOS package builds for OpenMP, GPUs (Cuda), and the Xeon Phi.</p>
<ul class="simple">
<li>Makefile.intel_cpu</li>
<li>Makefile.intel_phi</li>
<li>Makefile.kokkos_omp</li>
<li>Makefile.kokkos_cuda</li>
<li>Makefile.kokkos_phi</li>
<li>Makefile.omp</li>
<li>Makefile.opt</li>
</ul>
<p>Also note that the Make.py tool, described in the next <a class="reference internal" href="#start-4"><span class="std std-ref">Section 2.4</span></a> can automatically add the needed info to an existing
machine Makefile, using simple command-line arguments.</p>
relocation R_X86_64_32 against '__pthread_key_create' can not be used
when making a shared object; recompile with -fPIC
../../lib/colvars/libcolvars.a: error adding symbols: Bad value
</pre>
<p>As an example, here is how to build and install the <a class="reference external" href="http://www-unix.mcs.anl.gov/mpi">MPICH library</a>, a popular open-source version of MPI, distributed by
Argonne National Labs, as a shared library in the default
<p>Either flavor of library (static or shared) allows one or more LAMMPS
objects to be instantiated from the calling program.</p>
<p>When used from a C++ program, all of LAMMPS is wrapped in a LAMMPS_NS
namespace; you can safely use any of its classes and methods from
within the calling code, as needed.</p>
<p>When used from a C or Fortran program or a scripting language like
Python, the library has a simple function-style interface, provided in
src/library.cpp and src/library.h.</p>
<p>See the sample codes in examples/COUPLE/simple for examples of C++ and
C and Fortran codes that invoke LAMMPS thru its library interface.
There are other examples as well in the COUPLE directory which are
discussed in <a class="reference internal" href="Section_howto.html#howto-10"><span class="std std-ref">Section 6.10</span></a> of the
manual. See <a class="reference internal" href="Section_python.html"><span class="doc">Section 11</span></a> of the manual for a
description of the Python wrapper provided with LAMMPS that operates
through the LAMMPS library interface.</p>
<p>The files src/library.cpp and library.h define the C-style API for
using LAMMPS as a library. See <a class="reference internal" href="Section_howto.html#howto-19"><span class="std std-ref">Section 6.19</span></a> of the manual for a description of the
interface and how to extend it for your needs.</p>
<p>Explicitly enable or disable KOKKOS support, as provided by the KOKKOS
package. Even if LAMMPS is built with this package, as described
above in <a class="reference internal" href="#start-3"><span class="std std-ref">Section 2.3</span></a>, this switch must be set to enable
running with the KOKKOS-enabled styles the package provides. If the
switch is not set (the default), LAMMPS will operate as if the KOKKOS
package were not installed; i.e. you can run standard LAMMPS or with
the GPU or USER-OMP packages, for testing or benchmarking purposes.</p>
<p>Additional optional keyword/value pairs can be specified which
determine how Kokkos will use the underlying hardware on your
platform. These settings apply to each MPI task you launch via the
“mpirun” or “mpiexec” command. You may choose to run one or more MPI
tasks per physical node. Note that if you are running on a desktop
machine, you typically have one physical node. On a cluster or
supercomputer there may be dozens or 1000s of physical nodes.</p>
<p>Either the full word or an abbreviation can be used for the keywords.
Note that the keywords do not use a leading minus sign. I.e. the
keyword is “t”, not “-t”. Also note that each of the keywords has a
default setting. Example of when to use these options and what
settings to use on different platforms is given in <a class="reference internal" href="Section_accelerate.html#acc-3"><span class="std std-ref">Section 5.8</span></a>.</p>
<p>Use variants of various styles if they exist. The specified style can
be <em>cuda</em>, <em>gpu</em>, <em>intel</em>, <em>kk</em>, <em>omp</em>, <em>opt</em>, or <em>hybrid</em>. These
refer to optional packages that LAMMPS can be built with, as described
above in <a class="reference internal" href="#start-3"><span class="std std-ref">Section 2.3</span></a>. The “gpu” style corresponds to the
GPU package, the “intel” style to the USER-INTEL package, the “kk”
style to the KOKKOS package, the “opt” style to the OPT package, and
the “omp” style to the USER-OMP package. The hybrid style is the only
style that accepts arguments. It allows for two packages to be
specified. The first package specified is the default and will be used
if it is available. If no style is available for the first package,
the style for the second package will be used if available. For
example, “-suffix hybrid intel omp” will use styles from the
USER-INTEL package if they are installed and available, but styles for
the USER-OMP package otherwise.</p>
<p>Along with the “-package” command-line switch, this is a convenient
mechanism for invoking accelerator packages and their options without
having to edit an input script.</p>
<p>As an example, all of the packages provide a <a class="reference internal" href="pair_lj.html"><span class="doc">pair_style lj/cut</span></a> variant, with style names lj/cut/gpu,
lj/cut/intel, lj/cut/kk, lj/cut/omp, and lj/cut/opt. A variant style
can be specified explicitly in your input script, e.g. pair_style
lj/cut/gpu. If the -suffix switch is used the specified suffix
(gpu,intel,kk,omp,opt) is automatically appended whenever your input
script command creates a new <a class="reference internal" href="atom_style.html"><span class="doc">atom</span></a>,
<a class="reference internal" href="run_style.html"><span class="doc">run</span></a> style. If the variant version does not exist,
the standard version is created.</p>
<p>For the GPU package, using this command-line switch also invokes the
default GPU settings, as if the command “package gpu 1” were used at
the top of your input script. These settings can be changed by using
the “-package gpu” command-line switch or the <a class="reference internal" href="package.html"><span class="doc">package gpu</span></a> command in your script.</p>
<p>For the USER-INTEL package, using this command-line switch also
invokes the default USER-INTEL settings, as if the command “package
intel 1” were used at the top of your input script. These settings
can be changed by using the “-package intel” command-line switch or
the <a class="reference internal" href="package.html"><span class="doc">package intel</span></a> command in your script. If the
USER-OMP package is also installed, the hybrid style with “intel omp”
arguments can be used to make the omp suffix a second choice, if a
requested style is not available in the USER-INTEL package. It will
also invoke the default USER-OMP settings, as if the command “package
omp 0” were used at the top of your input script. These settings can
be changed by using the “-package omp” command-line switch or the
<a class="reference internal" href="package.html"><span class="doc">package omp</span></a> command in your script.</p>
<p>For the KOKKOS package, using this command-line switch also invokes
the default KOKKOS settings, as if the command “package kokkos” were
used at the top of your input script. These settings can be changed
by using the “-package kokkos” command-line switch or the <a class="reference internal" href="package.html"><span class="doc">package kokkos</span></a> command in your script.</p>
<p>For the OMP package, using this command-line switch also invokes the
default OMP settings, as if the command “package omp 0” were used at
the top of your input script. These settings can be changed by using
the “-package omp” command-line switch or the <a class="reference internal" href="package.html"><span class="doc">package omp</span></a> command in your script.</p>
<p>The <a class="reference internal" href="suffix.html"><span class="doc">suffix</span></a> command can also be used within an input
script to set a suffix, or to turn off or back on any suffix setting
<p>Specify a variable that will be defined for substitution purposes when
the input script is read. This switch can be used multiple times to
define multiple variables. “Name” is the variable name which can be a
single character (referenced as $x in the input script) or a full
string (referenced as ${abc}). An <a class="reference internal" href="variable.html"><span class="doc">index-style variable</span></a> will be created and populated with the
subsequent values, e.g. a set of filenames. Using this command-line
option is equivalent to putting the line “variable name index value1
value2 ...” at the beginning of the input script. Defining an index
variable as a command-line argument overrides any setting for the same
index variable in the input script, since index variables cannot be
re-defined. See the <a class="reference internal" href="variable.html"><span class="doc">variable</span></a> command for more info on
defining index and other kinds of variables and <a class="reference internal" href="Section_commands.html#cmd-2"><span class="std std-ref">this section</span></a> for more info on using variables
in input scripts.</p>
<div class="admonition note">
<p class="first admonition-title">Note</p>
<p class="last">Currently, the command-line parser looks for arguments that
start with “-” to indicate new switches. Thus you cannot specify
multiple variable values if any of they start with a “-”, e.g. a
negative numeric value. It is OK if the first value1 starts with a
“-”, since it is automatically skipped.</p>
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