GPU Implementation of GIST
For a standard cpptraj installation, a shell script and a patch file has been supplied.
Usage:
bash patch.sh </ROUTE/TO/CPPTRAJ/DIRECTORY>If the route to the cpptraj diorectory is not supplied, uses the cpptraj installation from AMBERHOME.
After applying the patch.sh shell script, all that remains to be done is to compile cpptraj in the usual way. Preferrably, using configure gnu -cuda -openmp and subsequently make.
If the cpptraj installation is not a standard installation, the following steps have to be taken:
- configure
- src/Makefile
- src/CMakeList.txt
- src/Command.cpp
- src/cpptrajfiles
Here is what you need to add to the different files:
- In configure add to the CUDA_TARGET cuda_kernel_gist/lib_cuda_gist.a
- In the src/Makefile add a recipe for the cuda_kernel_gist/lib_cuda_gist.a, add
cuda_kernel_gist/lib_cuda_gist.a:
cd cuda_kernel_gist/ && $(MAKE) all- In the src/CMakeLists.txt add at the beginning
add_subdirectory(cuda_kernel_gist)
- In the src/Command.cpp add after the two equivalent GIST statements
#include "Action_GIGIST.h"Command::AddCmd( new Action_GIGist(), Cmd::ACT, 1, "gigist" );
- In the src/cpptrajfiles add after the equivalent GIST statement
Action_GIGIST.cpp \
- Copy the contents of the directory into your cpptraj src directory
After updating these files, you can simply compile the code via make in the root directory.
$ ./configure gnu -cuda -openmp
$ makeThe author urges to actually use cuda and openmp or only cuda. Any speedup resulting from the new implementation will be lost otherwise. The code should still work (at the moment) but will not be fast.
The CUDA source code is its own directory, since it is not officially added in cpptraj yet. One can easily change that, but needs to also change the commands presented above, as well as some lines in the include statements.
The columns in the gist output file are ordered differently than in the original implementation, the density of the water oxygen and hydrogen was moved to the back. This, of course, also has a big impact on the other columns.
This code was written by Johannes Kraml and is based on the implementation present in cpptraj.