A library of CUDA implementations of neighbor search algorithms. Currently, the compressed LBVH and uniform grid are implemented. For additional details, please refer to the following publications:
- HOOMD-blue >= 2.4.1
- CMake >= 2.8.0
- A CUDA toolkit compatible with HOOMD-blue and an NVIDIA GPU with compute capability >= 3.5.
The neighbor library is intended to be compiled similarly to a HOOMD-blue
plugin. First, you must install HOOMD-blue and its dependencies with CUDA
enabled. Then, add your HOOMD-blue installation to your
The neighbor library should automatically find HOOMD-blue. From the current
export PYTHONPATH=/path/to/hoomd/2.4.1 mkdir build && cd build cmake ..
Set any CMake flags that are appropriate for your target architecture
CUDA_ARCH_LIST). Most options will have already been fixed by
your HOOMD-blue installation. Then, simply compile and install,
If you have difficulties with the CMake configuration, refer to the HOOMD-blue documentation for hints regarding compilation.
The following will be found in your installation:
bin: benchmark executables
include: header files for the neighbor library
lib: the neighbor library
Note that the neighbor library uses a fixed
RPATH at installation.
If you move your HOOMD-blue installation, you will need to recompile
You can validate your installation using the included test suite. Make sure that you are on a machine that has at least one available GPU, and then run
or a specific test using