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@ -994,143 +994,130 @@ processing units (GPUs). We plan to add more over time. Currently,
they only support NVIDIA GPU cards. To use them you need to install
certain NVIDIA CUDA software on your system:
</P>
<UL><LI>Check if you have an NVIDIA card: cat /proc/driver/nvidia/cards/0
<LI>Go to http://www.nvidia.com/object/cuda_get.html
<LI>Install a driver and toolkit appropriate for your system (SDK is not necessary)
<LI>Follow the instructions in README in lammps/lib/gpu to build the library.
<LI>Run lammps/lib/gpu/nvc_get_devices to list supported devices and properties
<UL><LI>Check if you have an NVIDIA card: cat /proc/driver/nvidia/cards/0 Go
<LI>to http://www.nvidia.com/object/cuda_get.html Install a driver and
<LI>toolkit appropriate for your system (SDK is not necessary) Follow the
<LI>instructions in README in lammps/lib/gpu to build the library. Run
<LI>lammps/lib/gpu/nvc_get_devices to list supported devices and
<LI>properties
</UL>
<H4>GPU configuration
</H4>
<P>When using GPUs, you are restricted to one physical GPU per LAMMPS
process. Multiple processes can share a single GPU and in many cases it
will be more efficient to run with multiple processes per GPU. Any GPU
accelerated style requires that <A HREF = "fix_gpu.html">fix gpu</A> be used in the
input script to select and initialize the GPUs. The format for the fix
is:
process. Multiple processes can share a single GPU and in many cases
it will be more efficient to run with multiple processes per GPU. Any
GPU accelerated style requires that <A HREF = "fix_gpu.html">fix gpu</A> be used in
the input script to select and initialize the GPUs. The format for the
fix is:
</P>
<PRE>fix <I>name</I> all gpu <I>mode</I> <I>first</I> <I>last</I> <I>split</I>
</PRE>
<P>where <I>name</I> is the name for the fix. The gpu fix must be the first
fix specified for a given run, otherwise the program will exit
with an error. The gpu fix will not have any effect on runs
that do not use GPU acceleration; there should be no problem
with specifying the fix first in any input script.
fix specified for a given run, otherwise the program will exit with an
error. The gpu fix will not have any effect on runs that do not use
GPU acceleration; there should be no problem with specifying the fix
first in any input script.
</P>
<P><I>mode</I> can be either "force" or "force/neigh". In the former,
neighbor list calculation is performed on the CPU using the
standard LAMMPS routines. In the latter, the neighbor list
calculation is performed on the GPU. The GPU neighbor list
can be used for better performance, however, it
should not be used with a triclinic box.
<P><I>mode</I> can be either "force" or "force/neigh". In the former, neighbor
list calculation is performed on the CPU using the standard LAMMPS
routines. In the latter, the neighbor list calculation is performed on
the GPU. The GPU neighbor list can be used for better performance,
however, it cannot not be used with a triclinic box or with
<A HREF = "pair_hybrid.html">hybrid</A> pair styles.
</P>
<P>There are cases when it might be more efficient to select the CPU for neighbor
list builds. If a non-GPU enabled style requires a neighbor list, it will also
be built using CPU routines. Redundant CPU and GPU neighbor list calculations
will typically be less efficient. For <A HREF = "pair_hybrid.html">hybrid</A> pair
styles, GPU calculated neighbor lists might be less efficient because
no particles will be skipped in a given neighbor list.
<P>There are cases when it might be more efficient to select the CPU for
neighbor list builds. If a non-GPU enabled style requires a neighbor
list, it will also be built using CPU routines. Redundant CPU and GPU
neighbor list calculations will typically be less efficient.
</P>
<P><I>first</I> is the ID (as reported by lammps/lib/gpu/nvc_get_devices)
of the first GPU that will be used on each node. <I>last</I> is the
ID of the last GPU that will be used on each node. If you have
only one GPU per node, <I>first</I> and <I>last</I> will typically both be
0. Selecting a non-sequential set of GPU IDs (e.g. 0,1,3)
is not currently supported.
<P><I>first</I> is the ID (as reported by lammps/lib/gpu/nvc_get_devices) of
the first GPU that will be used on each node. <I>last</I> is the ID of the
last GPU that will be used on each node. If you have only one GPU per
node, <I>first</I> and <I>last</I> will typically both be 0. Selecting a
non-sequential set of GPU IDs (e.g. 0,1,3) is not currently supported.
</P>
<P><I>split</I> is the fraction of particles whose forces, torques,
energies, and/or virials will be calculated on the GPU. This
can be used to perform CPU and GPU force calculations
simultaneously. If <I>split</I> is negative, the software will
attempt to calculate the optimal fraction automatically
every 25 timesteps based on CPU and GPU timings. Because the GPU speedups
are dependent on the number of particles, automatic calculation of the
split can be less efficient, but typically results in loop times
within 20% of an optimal fixed split.
<P><I>split</I> is the fraction of particles whose forces, torques, energies,
and/or virials will be calculated on the GPU. This can be used to
perform CPU and GPU force calculations simultaneously. If <I>split</I> is
negative, the software will attempt to calculate the optimal fraction
automatically every 25 timesteps based on CPU and GPU timings. Because
the GPU speedups are dependent on the number of particles, automatic
calculation of the split can be less efficient, but typically results
in loop times within 20% of an optimal fixed split.
</P>
<P>If you have two GPUs per node, 8 CPU cores per node, and
would like to run on 4 nodes with dynamic balancing of
force calculation across CPU and GPU cores, the fix
might be
<P>If you have two GPUs per node, 8 CPU cores per node, and would like to
run on 4 nodes with dynamic balancing of force calculation across CPU
and GPU cores, the fix might be
</P>
<PRE>fix 0 all gpu force/neigh 0 1 -1
</PRE>
<P>with LAMMPS run on 32 processes. In this case, all
CPU cores and GPU devices on the nodes would be utilized.
Each GPU device would be shared by 4 CPU cores. The
CPU cores would perform force calculations for some
fraction of the particles at the same time the GPUs
performed force calculation for the other particles.
<P>with LAMMPS run on 32 processes. In this case, all CPU cores and GPU
devices on the nodes would be utilized. Each GPU device would be
shared by 4 CPU cores. The CPU cores would perform force calculations
for some fraction of the particles at the same time the GPUs performed
force calculation for the other particles.
</P>
<P>Because of the large number of cores on each GPU
device, it might be more efficient to run on fewer
processes per GPU when the number of particles per process
is small (100's of particles); this can be necessary
to keep the GPU cores busy.
<P>Because of the large number of cores on each GPU device, it might be
more efficient to run on fewer processes per GPU when the number of
particles per process is small (100's of particles); this can be
necessary to keep the GPU cores busy.
</P>
<H4>GPU input script
</H4>
<P>In order to use GPU acceleration in LAMMPS,
<A HREF = "fix_gpu.html">fix_gpu</A>
should be used in order to initialize and configure the
GPUs for use. Additionally, GPU enabled styles must be
selected in the input script. Currently,
this is limited to a few <A HREF = "pair_style.html">pair styles</A>.
Some GPU-enabled styles have additional restrictions
listed in their documentation.
<P>In order to use GPU acceleration in LAMMPS, <A HREF = "fix_gpu.html">fix_gpu</A>
should be used in order to initialize and configure the GPUs for
use. Additionally, GPU enabled styles must be selected in the input
script. Currently, this is limited to a few <A HREF = "pair_style.html">pair
styles</A> and PPPM. Some GPU-enabled styles have
additional restrictions listed in their documentation.
</P>
<H4>GPU asynchronous pair computation
</H4>
<P>The GPU accelerated pair styles can be used to perform
pair style force calculation on the GPU while other
calculations are
performed on the CPU. One method to do this is to specify
a <I>split</I> in the gpu fix as described above. In this case,
force calculation for the pair style will also be performed
on the CPU.
<P>The GPU accelerated pair styles can be used to perform pair style
force calculation on the GPU while other calculations are performed on
the CPU. One method to do this is to specify a <I>split</I> in the gpu fix
as described above. In this case, force calculation for the pair
style will also be performed on the CPU.
</P>
<P>When the CPU work in a GPU pair style has finished,
the next force computation will begin, possibly before the
GPU has finished. If <I>split</I> is 1.0 in the gpu fix, the next
force computation will begin almost immediately. This can
be used to run a <A HREF = "pair_hybrid.html">hybrid</A> GPU pair style at
the same time as a hybrid CPU pair style. In this case, the
GPU pair style should be first in the hybrid command in order to
perform simultaneous calculations. This also
allows <A HREF = "bond_style.html">bond</A>, <A HREF = "angle_style.html">angle</A>,
<A HREF = "dihedral_style.html">dihedral</A>, <A HREF = "improper_style.html">improper</A>,
and <A HREF = "kspace_style.html">long-range</A> force
computations to be run simultaneously with the GPU pair style.
Once all CPU force computations have completed, the gpu fix
will block until the GPU has finished all work before continuing
the run.
<P>When the CPU work in a GPU pair style has finished, the next force
computation will begin, possibly before the GPU has finished. If
<I>split</I> is 1.0 in the gpu fix, the next force computation will begin
almost immediately. This can be used to run a
<A HREF = "pair_hybrid.html">hybrid</A> GPU pair style at the same time as a hybrid
CPU pair style. In this case, the GPU pair style should be first in
the hybrid command in order to perform simultaneous calculations. This
also allows <A HREF = "bond_style.html">bond</A>, <A HREF = "angle_style.html">angle</A>,
<A HREF = "dihedral_style.html">dihedral</A>, <A HREF = "improper_style.html">improper</A>, and
<A HREF = "kspace_style.html">long-range</A> force computations to be run
simultaneously with the GPU pair style. Once all CPU force
computations have completed, the gpu fix will block until the GPU has
finished all work before continuing the run.
</P>
<H4>GPU timing
</H4>
<P>GPU accelerated pair styles can perform computations asynchronously
with CPU computations. The "Pair" time reported by LAMMPS
will be the maximum of the time required to complete the CPU
pair style computations and the time required to complete the GPU
pair style computations. Any time spent for GPU-enabled pair styles
for computations that run simultaneously with <A HREF = "bond_style.html">bond</A>,
<A HREF = "angle_style.html">angle</A>, <A HREF = "dihedral_style.html">dihedral</A>,
<A HREF = "improper_style.html">improper</A>, and <A HREF = "kspace_style.html">long-range</A> calculations
will not be included in the "Pair" time.
with CPU computations. The "Pair" time reported by LAMMPS will be the
maximum of the time required to complete the CPU pair style
computations and the time required to complete the GPU pair style
computations. Any time spent for GPU-enabled pair styles for
computations that run simultaneously with <A HREF = "bond_style.html">bond</A>,
<A HREF = "angle_style.html">angle</A>, <A HREF = "dihedral_style.html">dihedral</A>,
<A HREF = "improper_style.html">improper</A>, and <A HREF = "kspace_style.html">long-range</A>
calculations will not be included in the "Pair" time.
</P>
<P>When <I>mode</I> for the gpu fix is force/neigh,
the time for neighbor list calculations on the GPU will be added
into the "Pair" time, not the "Neigh" time. A breakdown of the
times required for various tasks on the GPU (data copy, neighbor
calculations, force computations, etc.) are output only
with the LAMMPS screen output at the end of each run. These timings represent
total time spent on the GPU for each routine, regardless of asynchronous
CPU calculations.
<P>When <I>mode</I> for the gpu fix is force/neigh, the time for neighbor list
calculations on the GPU will be added into the "Pair" time, not the
"Neigh" time. A breakdown of the times required for various tasks on
the GPU (data copy, neighbor calculations, force computations, etc.)
are output only with the LAMMPS screen output at the end of each
run. These timings represent total time spent on the GPU for each
routine, regardless of asynchronous CPU calculations.
</P>
<H4>GPU single vs double precision
</H4>
<P>See the lammps/lib/gpu/README file for instructions on how to build
the LAMMPS gpu library for single, mixed, and double precision. The latter
requires that your GPU card supports double precision.
<P>See the lammps/lib/gpu/README file for instructions on how to build
the LAMMPS gpu library for single, mixed, and double precision. The
latter requires that your GPU card supports double precision.
</P>
<HR>