This website is intended to provide some guidance on how to get and install the PROGRESS library. LA-UR number 'LA-UR-17-27372'

A library for quantum chemistry solvers.

PROGRESS: Parallel, Rapid O(N) and Graph-based Recursive Electronic Structure Solver. LA-CC-16-068

• This library is focused on the development of general solvers that are commonly used in quantum chemistry packages.

• This library has to be compiled with the Basic Matrix Library (BML).

• Our webpage can be found at https://lanl.github.io/qmd-progress/

Authors

(in alphabetical order)

• Anders M. N. Niklasson amn@lanl.gov
• Christian F. A. Negre cnegre@lanl.gov
• Marc J. Cawkwell cawkwell@lanl.gov
• Nicolas Bock nicolasbock@gmail.com
• Susan M. Mniszewski smm@lanl.gov
• Michael E. Wall mewall@lanl.gov

Contributors

• Jesse Grindstaff grindstaff@lanl.gov
• Alicia Welden welden@umich.edu
• Nestor Aguirre nfaguirrec@lanl.gov
• Jean-Luc Fattebert fattebertj@ornl.gov

Build Dependencies

• >=OpenMP-3.1
• >=metis-5.0 if building with PROGRESS_GRAPHLIB

(On some distributions, metis is available as a package. Make sure you install the -dev package. For example, Ubuntu requires libmetis-dev.)

Testing in our CI container

We are switching our CI tests from Travis-CI to GitHub Actions because Travis-CI is limiting the number of builds for open source projects. Our workflow uses a custom Docker image which comes with the necessary compiler tool chain and a pre-installed bml library to build and test the qmd-progress library. Using docker is a convenient and quick way to develop, build, and test the qmd-progress library.

$ ./run-local-docker-container.sh

Inside the container:

$ ./build.sh compile

Build and Install Instructions

How to build

$ CMAKE_PREFIX_PATH=<BML install path> ./build.sh

How to install

$ cd build
$ sudo make install

To specify the Intel Fortran compiler:

$ FC=ifort PKG_CONFIG_PATH=<BML install path>/lib/pkgconfig ./build.sh

To build with the gfortran compiler and OpenMP:

$ CC=gcc FC=gfortran \
    CMAKE_BUILD_TYPE=Release \
    PROGRESS_OPENMP=yes \
    CMAKE_PREFIX_PATH=<BML install path> \
    CMAKE_INSTALL_PREFIX=<PROGRESS install path> \
    ./build.sh configure

To build with OpenMP, MPI and testing enabled:

$ CC=mpicc FC=mpif90 \
    CMAKE_BUILD_TYPE=Release \
    PROGRESS_OPENMP=yes \
    PROGRESS_MPI=yes \
    PROGRESS_TESTING=yes \
    CMAKE_PREFIX_PATH=<BML install path> \
    CMAKE_INSTALL_PREFIX=<PROGRESS install path> \
    ./build.sh configure

To build with OpenMP, MPI, testing enabled and example programs built:

$ CC=mpicc FC=mpif90 \
    CMAKE_BUILD_TYPE=Release \
    PROGRESS_OPENMP=yes \
    PROGRESS_MPI=yes \
    PROGRESS_TESTING=yes \
    PROGRESS_EXAMPLES=yes \
    CMAKE_PREFIX_PATH=<BML install path> \
    CMAKE_INSTALL_PREFIX=<PROGRESS install path> \
    ./build.sh configure

To build with OpenMP and MPI and testing enabled and example programs built and the METIS graph partitioning library:

$ CC=mpicc FC=mpif90 \
    CMAKE_BUILD_TYPE=Release \
    PROGRESS_OPENMP=yes \
    PROGRESS_MPI=yes \
    PROGRESS_GRAPHLIB=yes \
    PROGRESS_TESTING=yes \
    PROGRESS_EXAMPLES=yes \
    CMAKE_PREFIX_PATH=<BML install path> \
    CMAKE_INSTALL_PREFIX=<PROGRESS install path> \
    ./build.sh configure

Citing

@misc{2016progress,
    title={\textrm{PROGRESS} Version 1.0},
    author={Niklasson, Anders M. and Mniszewski, Susan M and Negre, Christian F. A. and Wall, Michael E. and Cawkwell, Marc J., and Nicolas Bock},
    year={2016},
    url = {https://github.com/lanl/qmd-progress},
    institution={Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)}
}

Support acknowledges

This development is currently supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration) responsible for the planning and preparation of a capable exascale ecosystem, including software, applications, hardware, advanced system engineering, and early testbed platforms, in support of the nation’s exascale computing imperative.

Basic Energy Sciences (LANL2014E8AN) and the Laboratory Directed Research and Development Program of Los Alamos National Laboratory. To tests these developments we used resources provided by the Los Alamos National Laboratory Institutional Computing Program, which is supported by the U.S. Department of Energy National Nuclear Security Administration