Software List

List of available software (as of 02/03/2020)

You can always get a list of all available modules by entering module spider. Here is the current list:

Application	Versions	Description
EasyBuild	EasyBuild/3.7.1	Build and installation framework
R	R/3.4.2, R/3.5.0, R/3.5.2	R is a language and environment for statistical computing and graphics (S-Plus like).
adios	adios/1.12.0, adios/1.13.1	The Adaptable IO System (ADIOS)
anaconda2	anaconda2/2019.03
anaconda3	anaconda3/2019.03, anaconda3/2019.10
autotools	autotools	Developer utilities
bio/angsd	bio/angsd/0.931	a powerful toolset for genome arithmetic
bio/bcftools	bio/bcftools/1.9	BCFtools are meant as a faster replacement for most of the perl VCFtools commands.
bio/bedtools	bio/bedtools/2.29.0	a powerful toolset for genome arithmetic
bio/bowtie	bio/bowtie/1.2.3	an ultrafast, memory-efficient short read aligner
bio/bowtie2	bio/bowtie2/2.3.5.1	an ultrafast, memory-efficient short read aligner
bio/bwa	bio/bwa/0.7.17	a software package for mapping DNA sequences against a large reference genome
bio/hisat2	bio/hisat2/2.1.0	an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences
bio/htslib	bio/htslib/1.9	htslib are meant as a faster replacement for most of the perl VCFtools commands.
bio/minimap2	bio/minimap2/2.12	A versatile pairwise aligner for genomic and spliced nucleotide sequences
bio/mothur	bio/mothur/1.43.0	mothur is a single piece of open-source, expandable software to fill the bioinformatics needs of the microbial ecology community
bio/ncbi-blast+	bio/ncbi-blast+/2.10.0	a powerful local alignment and search tool
bio/ngstools	bio/ngstools/2019	Programs to analyse NGS data for population genetics purposes
bio/samtools	bio/samtools/1.9	Tools (written in C using htslib) for manipulating next-generation sequencing data
bio/stacks	bio/stacks/2.41	Stacks is a software pipeline for building loci from short-read sequences, such as those generated on the Illumina platform
bio/vcftools	bio/vcftools/0.1.16	Perl and C++ tools for working with VCF files
bio/vsearch	bio/vsearch/2.14.2	A faster version of usearch for the bioinformatics needs of the microbial ecology community
boost	boost/1.66.0, boost/1.67.0, boost/1.69.0	Boost free peer-reviewed portable C++ source libraries
charliecloud	charliecloud/0.9.2	Lightweight user-defined software stacks for high-performance computing
chem/aimall	chem/aimall/19_02_13	Tools for using Bader's Atoms-in-Molecules (AIM) tools by Todd A. Keith
chem/amber	chem/amber/18-cpu, chem/amber/18-gpu	Application for computational chemistry and biochemistry
chem/chimera	chem/chimera	Application for computational chemistry modeling and visualization
chem/gamess	chem/gamess/2018-R2	Application for computational chemistry
chem/gaussian	chem/gaussian/09-D.01, chem/gaussian/16-B.01	Application for computational chemistry
chem/jmol	chem/jmol	Application for molecular modeling
chem/mopac	chem/mopac/2016	Application for computational chemistry
chem/mercury	chem/mercury/4.3.1	CCSD's crystallographic analysis tools; community version
chem/orca	chem/orca/4.1.2, chem/orca/4.2.0, chem/orca/4.2.1	Application for computational chemistry
chem/psi4conda	chem/psi4conda/1.3.1	Application for computational chemistry and biochemistry
chem/vmd	chem/vmd/1.9.3	Application for visualizations of molecular structures, trajectories surfaces, crystals ...
chem/xtb	chem/xtb/6.2.2	Application for computational chemistry and biochemistry
clustershell	clustershell/1.8	VIM files for ClusterShell
cm1	cm1/19.8-omp	Atmospheric physics simulation package
cmake	cmake/3.12.2	CMake is an open-source, cross-platform family of tools designed to build, test and package software.
cuda	cuda/9.2, cuda/10.1	CUDA Compiler and Library
dimemas	dimemas/5.3.4	Dimemas tool
extrae	extrae/3.5.2	Extrae tool
fftw	fftw/3.3.7, fftw/3.3.8	A Fast Fourier Transform library
gdal	gdal/2.2.3	A GIS format library
geopm	geopm/0.6.1	Global Extensible Open Power Manager
geos	geos/3.7.2	GEOS (Geometry Engine - Open Source) is a C++ port of the Topology Suite (JTS)
gnu	gnu/5.4.0	GNU Compiler Family (C/C++/Fortran for x86_64)
gnu7	gnu7/7.3.0	GNU Compiler Family (C/C++/Fortran for x86_64)
gnu8	gnu8/8.3.0	GNU Compiler Family (C/C++/Fortran for x86_64)
gsl	gsl/1.15, gsl/2.4, gsl/2.5	GNU Scientific Library (GSL)
hdf5	hdf5/1.10.2, hdf5/1.10.4	A general purpose library and file format for storing scientific data
hwloc	hwloc/1.11.10	Portable Hardware Locality
hypre	hypre/2.13.0, hypre/2.14.0, hypre/2.15.1	Scalable algorithms for solving linear systems of equations
imb	imb/2018.1	Intel MPI Benchmarks (IMB)
impi	impi/2019.3.199	Intel MPI Library (C/C++/Fortran for x86_64)
intel	intel/19.0.3.199	Intel Compiler Family (C/C++/Fortran for x86_64)
likwid	likwid/4.3.3	Toolsuite of command line applications for performance oriented programmers
llvm5	llvm5/5.0.1	LLVM Compiler Infrastructure
math/mathematica	math/mathematica/12.0	Application for symbolic and numerical computation
math/matlab	math/matlab/r2017b, math/matlab/r2018a, math/matlab/r2018b, math/matlab/r2019a, math/matlab/r2019b	Application for numerical simulations
metis	metis/5.1.0	Metis development files
mfem	mfem/3.4	Lightweight, general, scalable C++ library for finite element methods
miniconda2	miniconda2/4.7.10
miniconda3	miniconda3/4.7.10
mkl	mkl/19.0.3.199	Intel Math Kernel Library for C/C++ and Fortran
mpiP	mpiP/3.4.1	mpiP a lightweight profiling library for MPI applications.
mpich	mpich/3.2.1, mpich/3.3	MPICH MPI implementation
mumps	mumps/5.1.2	A MUltifrontal Massively Parallel Sparse direct Solver
mvapich2	mvapich2/2.2, mvapich2/2.3	OSU MVAPICH2 MPI implementation
netcdf	netcdf/4.5.0, netcdf/4.6.1, netcdf/4.6.2	C Libraries for the Unidata network Common Data Form
netcdf-cxx	netcdf-cxx/4.3.0	C++ Libraries for the Unidata network Common Data Form
netcdf-fortran	netcdf-fortran/4.4.4, netcdf-fortran/4.4.5	Fortran Libraries for the Unidata network Common Data Form
numpy	numpy/1.12.1	NumPy array processing for numbers, strings, records and objects
ocr	ocr/1.0.1	Open Community Runtime (OCR) for shared memory
ohpc	ohpc
openblas	openblas/0.2.20, openblas/0.3.5	An optimized BLAS library based on GotoBLAS2
opencoarrays	opencoarrays/2.2.0	ABI to leverage the parallel programming features of the Fortran 2018 DIS
openmpi	openmpi/1.10.7	A powerful implementation of MPI
openmpi3	openmpi3/3.1.0, openmpi3/3.1.3	A powerful implementation of MPI
papi	papi/5.6.0	Performance Application Programming Interface
pdtoolkit	pdtoolkit/3.25	PDT is a framework for analyzing source code
petsc	petsc/3.8.3, petsc/3.10.3	Portable Extensible Toolkit for Scientific Computation
phdf5	phdf5/1.10.1, phdf5/1.10.2, phdf5/1.10.4	A general purpose library and file format for storing scientific data
plasma	plasma/2.8.0	Parallel Linear Algebra Software for Multicore Architectures
pmix	pmix/2.1.4
pnetcdf	pnetcdf/1.9.0, pnetcdf/1.11.0	A Parallel NetCDF library (PnetCDF)
proj	proj/5.2.0	A geospatial coordinate transformation software
prun	prun/1.2	job launch utility for multiple MPI families
ptscotch	ptscotch/6.0.6	Graph, mesh and hypergraph partitioning library using MPI
py2-mpi4py	py2-mpi4py/3.0.0	Python bindings for the Message Passing Interface (MPI) standard.
py2-numpy	py2-numpy/1.15.3	NumPy array processing for numbers, strings, records and objects
py2-scipy	py2-scipy/1.2.1	Scientific Tools for Python
py3-mpi4py	py3-mpi4py/3.0.0	Python bindings for the Message Passing Interface (MPI) standard.
py3-numpy	py3-numpy/1.15.3	NumPy array processing for numbers, strings, records and objects
py3-scipy	py3-scipy/1.2.1	Scientific Tools for Python
python-intel	python-intel/2.7.15, python-intel/3.6.8	Python is cross-platform interpreted language. This version is optimzed by Intel
rstudio	rstudio/1.2.1335, rstudio/1.2.1555	RStudio provides a GUI for running R which is a language and environment for statistical computing and graphics (S-Plus like).
scalapack	scalapack/2.0.2	A subset of LAPACK routines redesigned for heterogenous computing
scalasca	scalasca/2.3.1, scalasca/2.4	Toolset for performance analysis of large-scale parallel applications
scipy	scipy/0.19.1	Scientific Tools for Python
scorep	scorep/3.1, scorep/4.1	Scalable Performance Measurement Infrastructure for Parallel Codes
scotch	scotch/6.0.6	Graph, mesh and hypergraph partitioning library
singularity	singularity/3.4.1	Application and environment virtualization
sionlib	sionlib/1.7.1, sionlib/1.7.2	Scalable I/O Library for Parallel Access to Task-Local Files
slepc	slepc/3.10.2	A library for solving large scale sparse eigenvalue problems
spack	spack/0.12.1	Spack package management
superlu	superlu/5.2.1	A general purpose library for the direct solution of linear equations
superlu_dist	superlu_dist/4.2, superlu_dist/6.1.1	A general purpose library for the direct solution of linear equations
tau	tau/2.27, tau/2.28	Tuning and Analysis Utilities Profiling Package
trilinos	trilinos/12.12.1	A collection of libraries of numerical algorithms
use.own	use.own
valgrind	valgrind/3.13.0	Memory debugging utilities
visit	visit/2.13.2, visit/3.0.2	VisIT is a parallel visualization suite based on VTK

New software is being installed constantly. Please run module spider to see the latest list of available software on the cluster.

Provisioning software using Lmod modules

Our cluster uses Lmod, a Lua-based environmental module system, to prepare the necessary environment to run your applications. It sets up proper paths to applications, libraries and header files, and allows you to change them dynamically. Moreover, it keeps track of dependencies between different components needed to run applications and ensures you have the right environment for a successful run.

R as an example

Suppose I want to run a statistical analysis using R while taking full advantage of the powerful capabilities of the massively parallel architecture of the HPC. How would I go about it? Here is one way:

See what modules I have loaded by default

$user@host[~]:   module list

Currently Loaded Modules:
  1) autotools   2) prun/1.2   3) gnu8/8.3.0   4) openmpi3/3.1.3   5) ohpc

Given that I don't see R loaded by default, let me see if R is available on the cluster.

See what versions of R are available on the cluster

$user@host[~]: module spider R

---------------------------------------------------------------------
  R:
---------------------------------------------------------------------
    Description:
      A language and software environment for statistical programming

     Versions:
        R/3.4.2
        R/3.5.0
        R/3.5.2
     Other possible modules matches:
        charliecloud  chem/amber  chem/orca  clustershell  extrae  hypre  
        netcdf-fortran  ocr  opencoarrays  parallel  proj  prun  scorep  
        singularity  superlu  superlu_dist  trilinos  valgrind

I see there are three versions of R. Let me get some detail on R/3.5.2

Get information about R/3.5.2 are available on the cluster

$user@host[~]: module spider R/3.5.2

---------------------------------------------------------------------
  R: R/3.5.2
---------------------------------------------------------------------
    Description:
      A language and software environment for statistical programming


    You will need to load all module(s) on any one of the lines below
    before the "R/3.5.2" module is available to load.

      gnu8/8.3.0
      intel/19.0.3.199

I see R/3.5.2 is available with the default gnu8/8.3.0 compiler toolchain or the more efficient intel/19.0.3.199 compiler toolchain. I'll pick the gnu8/8.3.0 since it's already loaded by default.

Load R/3.5.2 from gnu8 stack

$user@host[~]: module load R/3.5.

When I check what modules are loaded, I see that R/3.5.2 is indeed added.

$user@host[~]: module list

Currently Loaded Modules:
  1) autotools   2) prun/1.2   3) gnu8/8.3.0   4) openmpi3/3.1.3   5) ohpc   
  6) gdal/2.2.3   7) proj/5.2.0   8) geos/3.7.2   9) gsl/2.5  10) openblas/0.3.5  
  11) R/3.5.2

However, I see many other applications ( gdal/2.2.3 , proj/5.2.0 , geos/3.7.2 , gsl/2.5 , openblas/0.3.5 ) that are loaded simultaneously without my input. Why? Because some packages in R/3.5.2 have external dependencies such as openblas for doing matrix operations and gdal for handling GIS data. Lmod modules have information about these dependencies and they use that to set up the right environment to run R/3.5.2

So, what do these Lmod module files look like? You can use the module show R/3.5.2 command to see the location and content of these module files.

$user@host[~]: module show R/3.5.2

---------------------------------------------------------------------
   /opt/ohpc/pub/moduledeps/gnu8/R/3.5.2:
---------------------------------------------------------------------
whatis("Name: R project for statistical computing built with the gnu8 compiler toolchain. ")
whatis("Version: 3.5.2 ")
whatis("Category: utility, developer support, user tool ")
whatis("Keywords: Statistics ")
whatis("Description: R is a language and environment for statistical computing and graphics (S-Plus like). ")
whatis("URL http://www.r-project.org/ ")
load("gdal")
load("proj")
load("geos")
load("gsl")
prepend_path("PATH","/opt/ohpc/pub/libs/gnu8/R/3.5.2/bin")
prepend_path("MANPATH","/opt/ohpc/pub/libs/gnu8/R/3.5.2/share/man")
prepend_path("LD_LIBRARY_PATH","/opt/ohpc/pub/libs/gnu8/R/3.5.2/lib64")
prepend_path("LD_LIBRARY_PATH","/opt/ohpc/pub/libs/gnu8/R/3.5.2/lib64/R/library/Rcpp/libs")
setenv("R_DIR","/opt/ohpc/pub/libs/gnu8/R/3.5.2")
setenv("R_BIN","/opt/ohpc/pub/libs/gnu8/R/3.5.2/bin")
setenv("R_LIB","/opt/ohpc/pub/libs/gnu8/R/3.5.2/lib64")
setenv("R_SHARE","/opt/ohpc/pub/libs/gnu8/R/3.5.2/share")
depends_on("openblas")
help([[
This module loads the R package for statistical computing.

Version 3.5.2


]])

Run my R calculations and analysis

I can run R interactively on the head node for quick tests or submit more extensive calculations to run on the compute nodes via a batch scheduler (SLURM). Either way, I would need to load R using the module load R/3.5.2 command to

R as an example (Alternative)

An alternative way to see what software is available for my current software stack to enter module avail

$user@host[~]:   module avail

----------------------- /opt/ohpc/pub/moduledeps/gnu8-openmpi3 -----------------------
   adios/1.13.1     mpiP/3.4.1              pnetcdf/1.11.0      scorep/4.1
   boost/1.69.0     mumps/5.1.2             ptscotch/6.0.6      sionlib/1.7.2
   dimemas/5.3.4    netcdf-cxx/4.3.0        py2-mpi4py/3.0.0    slepc/3.10.2
   extrae/3.5.2     netcdf-fortran/4.4.5    py2-scipy/1.2.1     superlu_dist/6.1.1
   fftw/3.3.8       netcdf/4.6.2            py3-mpi4py/3.0.0    tau/2.28
   hypre/2.15.1     opencoarrays/2.2.0      py3-scipy/1.2.1     trilinos/12.12.1
   imb/2018.1       petsc/3.10.3            scalapack/2.0.2
   mfem/3.4         phdf5/1.10.4            scalasca/2.4

--------------------------- /opt/ohpc/pub/moduledeps/gnu8 ----------------------------
   R/3.5.2        impi/2019.3.199    ocr/1.0.1             py2-numpy/1.15.3
   gdal/2.2.3     likwid/4.3.3       openblas/0.3.5        py3-numpy/1.15.3
   geos/3.7.2     metis/5.1.0        openmpi3/3.1.3 (L)    superlu/5.2.1
   gsl/2.5        mpich/3.3          pdtoolkit/3.25
   hdf5/1.10.4    mvapich2/2.3       proj/5.2.0

----------------------------- /opt/ohpc/pub/modulefiles ------------------------------
   EasyBuild/3.7.1              cmake/3.12.2            papi/5.6.0
   autotools             (L)    cuda/9.2                parallel/2019
   charliecloud/0.9.2           cuda/10.1        (D)    pmix/2.1.4
   chem/amber/18-cpu            gnu/5.4.0               prun/1.2            (L)
   chem/amber/18-gpu     (D)    gnu7/7.3.0              python-intel/2.7.15
   chem/gamess/2018-R2          gnu8/8.3.0       (L)    python-intel/3.6.8  (D)
   chem/gaussian/16-B.01        hwloc/1.11.10           singularity/2.6.0
   chem/mopac/2016              intel/19.0.3.199        use.own
   chem/orca/4.1.2              llvm5/5.0.1             valgrind/3.13.0
   clustershell/1.8             ohpc             (L)

  Where:
   D:  Default Module
   L:  Module is loaded

Use "module spider" to find all possible modules.
Use "module keyword key1 key2 ..." to search for all possible modules matching any of
the "keys".

I see that there are is an R/3.5.2 module in the gnu8 stack I can load up using the module load R/3.5.2 command.

In fact, the software available to you depends a lot on the compiler and library toolchain you pick. The gnu8, gnu8-openmpi3, intel and intel-openmpi3 chains have the largest collection of applications on our cluster.

GNU8 + OpenMPI3

The default software has the following applications. More applications will be added upon request.

------------------------------ /opt/ohpc/pub/moduledeps/gnu8-openmpi3 -------------------------------
   adios/1.13.1     mpiP/3.4.1              pnetcdf/1.11.0      scorep/4.1
   boost/1.69.0     mumps/5.1.2             ptscotch/6.0.6      sionlib/1.7.2
   dimemas/5.3.4    netcdf-cxx/4.3.0        py2-mpi4py/3.0.0    slepc/3.10.2
   extrae/3.5.2     netcdf-fortran/4.4.5    py2-scipy/1.2.1     superlu_dist/6.1.1
   fftw/3.3.8       netcdf/4.6.2            py3-mpi4py/3.0.0    tau/2.28
   hypre/2.15.1     opencoarrays/2.2.0      py3-scipy/1.2.1     trilinos/12.12.1
   imb/2018.1       petsc/3.10.3            scalapack/2.0.2
   mfem/3.4         phdf5/1.10.4            scalasca/2.4

----------------------------------- /opt/ohpc/pub/moduledeps/gnu8 -----------------------------------
   R/3.5.2            likwid/4.3.3    mvapich2/2.3      openmpi3/3.1.3   (L)    py3-numpy/1.15.3
   hdf5/1.10.4        metis/5.1.0     ocr/1.0.1         pdtoolkit/3.25          superlu/5.2.1
   impi/2019.3.199    mpich/3.3       openblas/0.3.5    py2-numpy/1.15.3

------------------------------------- /opt/ohpc/pub/modulefiles -------------------------------------
   EasyBuild/3.7.1              cmake/3.12.2            papi/5.6.0
   autotools             (L)    cuda/9.2                pmix/2.1.4
   charliecloud/0.9.2           gnu7/7.3.0              prun/1.2          (L)
   chem/gamess/2018-R2          gnu8/8.3.0       (L)    singularity/2.6.0
   chem/gaussian/16-B.01        hwloc/1.11.10           use.own
   chem/mopac/2016              intel/19.0.3.199        valgrind/3.13.0
   chem/orca/4.1.2              llvm5/5.0.1
   clustershell/1.8             ohpc             (L)

Intel + OpenMPI3

You can switch to from the default software stack build using GNU8 to one built using Intel compilers using modules: module swap gnu8 intel

The Intel 19 and OpenMPI3 software stack currently has the following packages.

------------------------------ /opt/ohpc/pub/moduledeps/intel-openmpi3 ------------------------------
   adios/1.13.1     mfem/3.4                pnetcdf/1.11.0      sionlib/1.7.2
   boost/1.69.0     mumps/5.1.2             ptscotch/6.0.6      slepc/3.10.2
   dimemas/5.3.4    netcdf-cxx/4.3.0        py2-mpi4py/3.0.0    superlu_dist/6.1.1
   extrae/3.5.2     netcdf-fortran/4.4.5    py3-mpi4py/3.0.0    tau/2.28
   geopm/0.6.1      netcdf/4.6.2            scalapack/2.0.2     trilinos/12.12.1
   hypre/2.15.1     petsc/3.10.3            scalasca/2.4
   imb/2018.1       phdf5/1.10.4            scorep/4.1

---------------------------------- /opt/ohpc/pub/moduledeps/intel -----------------------------------
   R/3.4.2            likwid/4.3.3    ocr/1.0.1             py2-numpy/1.15.3
   gdal/2.2.3         metis/5.1.0     openmpi3/3.1.3 (L)    py3-numpy/1.15.3
   hdf5/1.10.4        mpich/3.3       pdtoolkit/3.25        scotch/6.0.6
   impi/2019.3.199    mvapich2/2.3    plasma/2.8.0          superlu/5.2.1

------------------------------------- /opt/ohpc/pub/modulefiles -------------------------------------
   EasyBuild/3.7.1              chem/orca/4.1.2     hwloc/1.11.10           prun/1.2          (L)
   autotools             (L)    clustershell/1.8    intel/19.0.3.199 (L)    singularity/2.6.0
   charliecloud/0.9.2           cmake/3.12.2        llvm5/5.0.1             use.own
   chem/gamess/2018-R2          cuda/9.2            ohpc             (L)    valgrind/3.13.0
   chem/gaussian/16-B.01        gnu7/7.3.0          papi/5.6.0
   chem/mopac/2016              gnu8/8.3.0          pmix/2.1.4

GNU7 + OpenMPI3

You can switch to from the default software stack build using GNU7 to one built using GNU7 using modules: module swap gnu8 gnu7

The GNU7 and OpenMPI3 software stack currently has the following packages.

----------------------------------- /opt/ohpc/pub/moduledeps/gnu7 -----------------------------------
   R/3.5.0    hdf5/1.10.2    mpich/3.2.1    mvapich2/2.2    openblas/0.2.20    openmpi3/3.1.0 (L)

------------------------------------- /opt/ohpc/pub/modulefiles -------------------------------------
   EasyBuild/3.7.1              cmake/3.12.2            papi/5.6.0
   autotools             (L)    cuda/9.2                pmix/2.1.4
   charliecloud/0.9.2           gnu7/7.3.0       (L)    prun/1.2          (L)
   chem/gamess/2018-R2          gnu8/8.3.0              singularity/2.6.0
   chem/gaussian/16-B.01        hwloc/1.11.10           use.own
   chem/mopac/2016              intel/19.0.3.199        valgrind/3.13.0
   chem/orca/4.1.2              llvm5/5.0.1
   clustershell/1.8             ohpc             (L)

GNU + OpenMPI

If you have slightly older software that requires GNU5 compilers and OpenMPI1, you can switch from the default software stack build using GNU8 to one built using GNU5 using modules: module swap gnu8 gnu

The GNU and OpenMPI software stack currently has the following packages.

--------------------------------- /opt/ohpc/pub/moduledeps/gnu-openmpi ---------------------------------
   adios/1.12.0    mumps/5.1.2             phdf5/1.10.1       scorep/3.1          trilinos/12.12.1
   boost/1.66.0    netcdf-fortran/4.4.4    scalapack/2.0.2    sionlib/1.7.1
   fftw/3.3.7      netcdf/4.5.0            scalasca/2.3.1     superlu_dist/4.2
   hypre/2.13.0    petsc/3.8.3             scipy/0.19.1       tau/2.27

------------------------------------- /opt/ohpc/pub/moduledeps/gnu -------------------------------------
   gsl/2.4            mkl/19.0.3.199    numpy/1.12.1       openmpi/1.10.7 (L)
   impi/2019.3.199    mpich/3.2.1       ocr/1.0.1          pdtoolkit/3.25
   metis/5.1.0        mvapich2/2.2      openblas/0.2.20    superlu/5.2.1

-------------------------------------- /opt/ohpc/pub/modulefiles ---------------------------------------
   EasyBuild/3.7.1              cuda/9.2                pmix/2.1.4
   autotools             (L)    gnu/5.4.0        (L)    prun/1.2            (L)
   charliecloud/0.9.2           gnu7/7.3.0              python-intel/2.7.15
   chem/gamess/2018-R2          gnu8/8.3.0              python-intel/3.6.8  (D)
   chem/gaussian/16-B.01        hwloc/1.11.10           singularity/2.6.0
   chem/mopac/2016              intel/19.0.3.199        use.own
   chem/orca/4.1.2              llvm5/5.0.1             valgrind/3.13.0
   clustershell/1.8             ohpc             (L)
   cmake/3.12.2                 papi/5.6.0

Other Applications and Utilities

The applications listed above are traditional HPC software that are stored in a central location that all storage and compute nodes can access. There are other system and utility applications stored locally on the login node as well as all compute and storage nodes.

How about Users' Own Applications

You are welcome to install and run your own applications. Here are some useful tips

• It's best to consistently stick with one compiler and MPI library if possible.

• To ease setting up the environment to run your own applications

  • You can enter module load use.own to create a directory called privatemodules in your $HOME directory

  • You can copy an example module file from /opt/ohpc/pub/examples/example.modulefile or /opt/ohpc/pub/examples/examplempi-dependent.modulefile and change it to match your application

Can Users Request Applications to be installed?

Absolutely. Please submit a TeamDynamix service request stating the application you need and any pertinent details and we will do our best to get the application available to you quickly.

Please note that some applications are trivial to install and test while others can be cumbersome. So, we can not guarantee a quick turn-around, but we will try to give you a reasonable timeline.