Software Modules

Below is a list of the software on Triton accessible through LMOD (modules) as of 2021/01/13 5:00pm.

The “module avail command” reports only the modules that are available with with the current compiler. The “module spider” command lists all available modules, regardless of which compiler is loaded.

The Anaconda and IBM Watson Machine Learning (WML) modules provide additional software. More information on using modules on Triton is available on the modules documentation page, link below.

https://github.com/um-acs/acs_docs/blob/master/docs/triton/1-env/3-modules.rst

Software Description
R/3.6.1  
StdEnv Loads standard environment modules
anaconda2/2019.07  
anaconda3/biohpc  
anaconda3/2019.07  
anaconda3/2019.10  
aspect/2.1  
aspect/2.2.0  
at/12.0 GNU/Linux toolchain update, IBM AT 12.0 gcc 8.3.1
boost/7.4.0  
cdo/1.9.7.1  
cdo/1.9.8 CDO tools and libraries compiled with hdf5 1.8.16 and netcdf C 4.7.4
cellranger/3.0.2 10x Genomics Inc software distribution
cellranger-atac/3.0.2  
cellranger-dna/3.0.2  
cp2k/6.1 Quantum chemistry and solid state physics software package
cuda/10.1  
cuda/10.2  
cuda/10.2.89  
cuda/11.1.0  
fftw/3.3.8 FFTW libraries for Power9
gcc/4.8.5 The GNU Compiler Collection
gcc/7.4.0  
gcc/8.4.0  
gcc/10.2.0  
gromacs/2020.2  
hdf5/1.8.16  
hdf5/1.10.5  
hdf5/1.10.6  
hdf5/1.10.7 HDF5 libraries, serial
hwloc/1.11.11 MPI implementation for GCC 7.4.0
java/8.0  
java/8.0-6.5 Java(TM) SE Runtime Environment (build 8.0.5.37)
lammps/2019.08 Molecular dynamics code with a focus on materials modeling.
libiconv/1.16  
libpciaccess/0.13.5  
libxml2/2.9.9  
nco/4.8.1  
nco/4.9.3 NCO tools and libraries compiled with netcdf C 4.7.4
netcdf/4.7.1 netcdf4 C and F libraries compiled with hdf5 1.10.5
netcdfc/4.7.4 netcdf C libraries compiled with hdf5 1.8.16
netcdff/4.5.3 netcdf F libraries compiled with hdf5 1.8.16 & netcdf C 4.7.4
netlib-scalapack/2.0.2  
numactl/2.0.12  
openBLAS/0.3.7 openBLAS libraries for Power9
openblas/0.3.7  
openfoam/2006  
openmpi/3.1.4  
openmpi/3.1.6 MPI implementation for GCC 7.4.0
py-torch/1.7.0  
python/3.7.3  
python/3.8.6  
smpi/10.02 MPI implementation for IBM AT 12.0
vmd/1.9.4 Molecular visualization program
wml/1.6.1 IBM Watson Machine Learning (WML) 1.6.1
wml/1.6.2  
wml/1.7.0  
wml_anaconda3/2019.10 Anaconda3 Configured for Installing WML
xl/16.1.1.4 IBM C, C++, and Fortran compilers, with Cuda 10.1 support
xz/5.2.4  
zlib/1.2.11