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--------------------------------
LAMMPS ACCELERATOR LIBRARY
--------------------------------
W. Michael Brown (ORNL)
Trung Dac Nguyen (ORNL)
Peng Wang (NVIDIA)
Axel Kohlmeyer (Temple)
Steve Plimpton (SNL)
Inderaj Bains (NVIDIA)
-------------------------------------------------------------------
This directory has source files to build a library that LAMMPS
links against when using the GPU package.
This library must be built with a C++ compiler, before LAMMPS is
built, so LAMMPS can link against it.
Build the library using one of the provided Makefile.* files or create
your own, specific to your compiler and system. For example:
make -f Makefile.linux
When you are done building this library, two files should
exist in this directory:
libgpu.a the library LAMMPS will link against
Makefile.lammps settings the LAMMPS Makefile will import
Makefile.lammps is created by the make command, by copying one of the
Makefile.lammps.* files. See the EXTRAMAKE setting at the top of the
Makefile.* files.
IMPORTANT: You must examine the final Makefile.lammps to insure it is
correct for your system, else the LAMMPS build will likely fail.
Makefile.lammps has settings for 3 variables:
user-gpu_SYSINC = leave blank for this package
user-gpu_SYSLIB = CUDA libraries needed by this package
user-gpu_SYSPATH = path(s) to where those libraries are
Because you have the CUDA compilers on your system, you should have
the needed libraries. If the CUDA developement tools were installed
in the standard manner, the settings in the Makefile.lammps.standard
file should work.
-------------------------------------------------------------------
GENERAL NOTES
--------------------------------
This library, libgpu.a, provides routines for GPU acceleration
of certain LAMMPS styles and neighbor list builds. Compilation of this
library requires installing the CUDA GPU driver and CUDA toolkit for
your operating system. Installation of the CUDA SDK is not necessary.
In addition to the LAMMPS library, the binary nvc_get_devices will also
be built. This can be used to query the names and properties of GPU
devices on your system. A Makefile for OpenCL compilation is provided,
but support for OpenCL use is not currently provided by the developers.
Details of the implementation are provided in:
----
Brown, W.M., Wang, P. Plimpton, S.J., Tharrington, A.N. Implementing
Molecular Dynamics on Hybrid High Performance Computers - Short Range
Forces. Computer Physics Communications. 2011. 182: p. 898-911.
and
Brown, W.M., Kohlmeyer, A. Plimpton, S.J., Tharrington, A.N. Implementing
Molecular Dynamics on Hybrid High Performance Computers - Particle-Particle
Particle-Mesh. Computer Physics Communications. 2012. 183: p. 449-459.
and
Brown, W.M., Masako, Y. Implementing Molecular Dynamics on Hybrid High
Performance Computers - Three-Body Potentials. Computer Physics Communications.
2013. In press.
----
NOTE: Installation of the CUDA SDK is not required.
Current styles supporting GPU acceleration:
1 beck
2 born/coul/long
3 born/coul/wolf
4 born
5 buck/coul/cut
6 buck/coul/long
7 buck
8 colloid
9 coul/dsf
10 coul/long
11 eam/alloy
12 eam/fs
13 eam
14 eam/lj
15 gauss
16 gayberne
17 lj96/cut
18 lj/charmm/coul/long
19 lj/class2/coul/long
20 lj/class2
21 lj/cut/coul/cut
22 lj/cut/coul/debye
23 lj/cut/coul/dsf
24 lj/cut/coul/long
25 lj/cut/coul/msm
26 lj/cut/coul/wolf/fsw
27 lj/cut/dipole/cut
28 lj/cut
29 lj/cut/tgpu
30 lj/expand
31 lj/sdk/coul/long
32 cg/cmm/coul/long
33 lj/sdk
34 cg/cmm
35 lj/sf/dipole/sf
36 mie/cut
37 morse
38 resquared
39 soft
40 sw
41 table
42 yukawa/colloid
43 yukawa
44 pppm
MULTIPLE LAMMPS PROCESSES
--------------------------------
Multiple LAMMPS MPI processes can share GPUs on the system, but multiple
GPUs cannot be utilized by a single MPI process. In many cases, the
best performance will be obtained by running as many MPI processes as
CPU cores available with the condition that the number of MPI processes
is an integer multiple of the number of GPUs being used. See the
LAMMPS user manual for details on running with GPU acceleration.
BUILDING AND PRECISION MODES
--------------------------------
To build, edit the CUDA_ARCH, CUDA_PRECISION, CUDA_HOME variables in one of
the Makefiles. CUDA_ARCH should be set based on the compute capability of
your GPU. This can be verified by running the nvc_get_devices executable after
the build is complete. Additionally, the GPU package must be installed and
compiled for LAMMPS. This may require editing the gpu_SYSPATH variable in the
LAMMPS makefile.
Please note that the GPU library accesses the CUDA driver library directly,
so it needs to be linked not only to the CUDA runtime library (libcudart.so)
that ships with the CUDA toolkit, but also with the CUDA driver library
(libcuda.so) that ships with the Nvidia driver. If you are compiling LAMMPS
on the head node of a GPU cluster, this library may not be installed,
so you may need to copy it over from one of the compute nodes (best into
this directory).
The gpu library supports 3 precision modes as determined by
the CUDA_PRECISION variable:
CUDA_PREC = -D_SINGLE_SINGLE # Single precision for all calculations
CUDA_PREC = -D_DOUBLE_DOUBLE # Double precision for all calculations
CUDA_PREC = -D_SINGLE_DOUBLE # Accumulation of forces, etc. in double
NOTE: PPPM acceleration can only be run on GPUs with compute capability>=1.1.
You will get the error "GPU library not compiled for this accelerator."
when attempting to run PPPM on a GPU with compute capability 1.0.
NOTE: Double precision is only supported on certain GPUs (with
compute capability>=1.3). If you compile the GPU library for
a GPU with compute capability 1.1 and 1.2, then only single
precision FFTs are supported, i.e. LAMMPS has to be compiled
with -DFFT_SINGLE. For details on configuring FFT support in
LAMMPS, see http://lammps.sandia.gov/doc/Section_start.html#2_2_4
NOTE: For graphics cards with compute capability>=1.3 (e.g. Tesla C1060),
make sure that -arch=sm_13 is set on the CUDA_ARCH line.
NOTE: For newer graphics card (a.k.a. "Fermi", e.g. Tesla C2050), make
sure that either -arch=sm_20 or -arch=sm_21 is set on the
CUDA_ARCH line, depending on hardware and CUDA toolkit version.
NOTE: The gayberne/gpu pair style will only be installed if the ASPHERE
package has been installed.
NOTE: The cg/cmm/gpu and cg/cmm/coul/long/gpu pair styles will only be
installed if the USER-CG-CMM package has been installed.
NOTE: The lj/cut/coul/long/gpu, cg/cmm/coul/long/gpu, coul/long/gpu,
lj/charmm/coul/long/gpu and pppm/gpu styles will only be installed
if the KSPACE package has been installed.
EXAMPLE BUILD PROCESS
--------------------------------
cd ~/lammps/lib/gpu
emacs Makefile.linux
make -f Makefile.linux
./nvc_get_devices
cd ../../src
emacs ./MAKE/Makefile.linux
make yes-asphere
make yes-kspace
make yes-gpu
make linux
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