abiconfig: A Python repository from TeetotalingTom

About

This repo is a holding area for configuration files used to configure/compile Abinit on HPC clusters. Each configuration file contains a header with metadata in json format followed by the configure options supported by the Abinit build system. See files in the abiconfig/clusters directory.

The metadata section contains information such as the list of modules that must be loaded in order to configure/execute Abinit on the cluster, a brief description of the options activated and a list of keywords associated to the configuration file. For further information on the metadata section, see Contributing section.

The configuration file can be copied directly from this repository or, alternatively, one can install the package and use the abiconf.py script to search for ac files by hostname, by keywords. abiconf.py also provides commands to automate the configuration/make procedure and generate templates for job scripts (see Using abiconf.py). Contributions from users and sysadmins are welcome.

Note that abiconf.py is just a collection of configuration files and does not aim at becoming a package management tool for Abinit. If you need a real package manager able to support multiple versions and configurations of software, consider the following projects:

Both projects are designed for large supercomputing centers and they already provide configuration files to build Abinit.

Pre-compiled versions of Abinit for Linux and MacOSx are also available on the Abinit conda channel:

$ conda install abinit --channel abinit

These builds are useful especially if you want to try Abinit on your machine but they are not supposed to be used for high-performance calculations. For further information, please consult the abinit channel.

Getting abiconfig

From pip

The easiest way to install abiconf is to use pip, as follows:

pip install git+https://github.com/abinit/abiconfig.git@develop --user

The --user option makes pip install packages in your home directory instead which doesn't require any special privileges.

From github

The developmental version is available at the github repo. Clone the repo with:

$ git clone https://github.com/abinit/abiconfig.git

After cloning the source, cd to the abiconfig directory and type:

$ python setup.py install --user

$ sudo python setup.py install

if you have root privileges on the machine.

Please fork the project on github, if you plan to contribute to abiconfig.

Using abiconf.py

Use:

$ abiconf.py hostname nic5

to list the configuration files available for the nic5 machine. If the machine name is not provided, the full list of configuration files is printed.

Use:

$ abiconf.py keys intel mkl

to find the configuration files containing the keywords: intel and mkl and

$ abiconf.py keys

to get the full list of keywords.

Once you have found a configuration file for your machine in the abiconfig database (e.g. manneback-gcc-openmpi.ac), use:

$ abiconf.py workon manneback-gcc-openmpi.ac

to create the build directory, then follow the instructions reported on the terminal to configure and compile the code.

Note that workon must be executed within an Abinit directory tree containing the configure script.

It's also possible to generate a submission script template with the syntax:

$ abiconf.py script manneback-gcc-openmpi.ac

and print the ac file to terminal with:

$ abiconf.py show manneback-gcc-openmpi.ac

Use

$ abiconf.py doc

to get the documentation of the different options.

Use

$ abiconf.py --help

to get the list of available commands and

$ abiconf.py command --help

to list the options supported by command.

Contributing

Fork the repo and add your ac file to the clusters directory. Each configuration file must start with a metadata section enclosed between two --- markers. The text between the markers represents a dictionary in json format followed by the Abinit configure options in normalized form (remove the initial -- from the option name, replace - with _). Example:

#---
#{
#"hostname": "nic4",
#"author": "J. Doe",
#"date": "2016-09-30",
#"description": "Configuration file for nic4. Uses intel compilers, openmpi, mkl (sequential) and external netcdf4/hdf5",
#"keywords": ["linux", "intel", "openmpi", "mkl", "hdf5"],
#"qtype": "slurm",
#"pre_configure": [
#   "module purge",
#   "module load openmpi/1.7.5/intel2013_sp1.1.106",
#   "module load intel/mkl/64/11.1/2013_sp1.1.106",
#   "module load hdf5/1.8.13/openmpi-1.7.5-intel2013_sp1.1.106",
#   "module load netcdf/4.3.2/openmpi-1.7.5-intel2013_sp1.1.106"
# ]
#}
#---

# Abinit configure options in normalized form follows.

#install architecture-independent files in PREFIX
#prefix="~/local/"

# MPI/OpenMP
with_mpi_prefix="${MPI_HOME}"
enable_mpi="yes"
enable_mpi_io="yes"
enable_openmp="no"

# BLAS/LAPACK provided by MKL (dynamic linking)
# See https://software.intel.com/en-us/articles/intel-mkl-link-line-advisor
with_linalg_flavor="mkl"
with_linalg_libs="-L${MKLROOT}/lib/intel64 -lmkl_intel_lp64 -lmkl_core -lmkl_sequential -lpthread -lm -ldl"

If possible, try to avoid hard-coded values e.g. use ${MKLROOT} instead of the full path to the MKL library. The user is supposed to load the modules defined in the pre_configure section before running configure and the modules with automatically set these environment variables. The big advantage is that one link against a different MKL version by just changing the MKL module declared in the json dictionary.

The following keywords must be defined in the json dictionary: