Quantum ESPRESSO/PWSCF¶

Quantum ESPRESSO is an integrated suite of computer codes for electronic structure calculations and materials modeling at the nanoscale. It builds on the electronic structure codes PWscf, PHONON, CP90, D3Q, EPW, FPMD, and Wannier90. It is based on density-functional theory, plane waves, and pseudopotentials (both norm-conserving and ultrasoft).

Availability and Supported Architectures at NERSC¶

Quantum ESPRESSO is available at NERSC as a provided support level package. Quantum ESPRESSO 7.x supports GPU execution.

Versions Supported¶

Perlmutter GPU	Perlmutter CPU
7.x	7.x

Use the module avail espresso command to see a full list of available sub-versions.

Application Information, Documentation, and Support¶

Quantum ESPRESSO is freely available and can be downloaded from the Quantum ESPRESSO home page. See the preceding link for more resources, including documentation for building the code and preparing input files, tutorials, pseudopotentials, and auxiliary software. For troubleshooting, see the FAQ for solutions to common issues encountered while building and running the package. See the Quantum ESPRESSO users forum and mail archives for additional support-related questions. For help with issues specific to the NERSC module, please file a support ticket.

Using Quantum ESPRESSO at NERSC¶

Use the module avail command to see which versions are available and module load <version> to load the environment:

nersc$ module avail espresso

---------------------------------------- NERSC Modules ----------------------------------------
   espresso/7.3.1-libxc-6.2.2-cpu    espresso/7.3.1-libxc-6.2.2-gpu (D)

  Where:
   D:  Default Module

nersc$ module load espresso/7.3.1-libxc-6.2.2-gpu

The preceding command loads Quantum ESPRESSO 7.3.1 built for GPUs and linked to the LibXC v6.2.2 density functional library.

Sample Job Scripts¶

See the example jobs page for additional examples and information about jobs. For all routines except pw.x, run Quantum ESPRESSO in full MPI mode as there is currently no efficient OpenMP implementation available.

Sample job script for running Quantum ESPRESSO on Perlmutter GPU nodes

#!/bin/bash
#SBATCH -A <your account name>  # e.g., m1111
#SBATCH -C gpu
#SBATCH -q regular
#SBATCH -N 2
#SBATCH -t 01:00:00
#SBATCH -J qe_job

ml espresso/7.3.1-libxc-6.2.2-gpu

export OMP_PROC_BIND=spread
export OMP_PLACES=threads
export OMP_NUM_THREADS=1

srun -n 8 -c 32 -G 8 --cpu-bind=cores --gpu-bind=single:1 pw.x -input scf.in

Tip

For GPU runs, use 1 MPI-rank-per-GPU and set OMP_NUM_THREADS=1 to avoid oversubscribing each GPU.

Sample job script for running Quantum ESPRESSO on Perlmutter CPU nodes

#!/bin/bash
#SBATCH -A <your account name>  # e.g., m1111
#SBATCH -C cpu
#SBATCH -q regular
#SBATCH -N 2
#SBATCH -t 01:00:00
#SBATCH -J qe_job

ml espresso/7.3.1-libxc-6.2.2-cpu

export OMP_PROC_BIND=spread
export OMP_PLACES=threads
export OMP_NUM_THREADS=1

srun -n 256 -c 2 --cpu-bind=cores pw.x -input scf.in

Tip

Quantum Espresso v7.1 and later versions include an automated feature for selecting internal parallelization flags.

Building Quantum ESPRESSO from Source¶

Some users may be interested in tweaking the Quantum ESPRESSO build parameters and building QE themselves. Quantum ESPRESSO tarballs are available for download at the developers' download page. One can also build Quantum ESPRESSO by cloning the GitHub repository using the following scripts:

Quantum ESPRESSO + LibXC (NVIDIA build targeting Perlmutter GPU)

#!/bin/bash
set -x

# Select LibXC and Quantum Espresso version to build
# (older versions may not be supported)
LIBXCVSN=7.0.0
QEVSN=7.4.1

# Download and extract libxc
curl -O https://gitlab.com/libxc/libxc/-/archive/${LIBXCVSN}/libxc-${LIBXCVSN}.tar.bz2 && tar -xjf libxc-${LIBXCVSN}.tar.bz2

# Clone QE repository and check out the correct release
git clone --depth 1 --branch qe-${QEVSN} https://gitlab.com/QEF/q-e qe-${QEVSN}
cd qe-${QEVSN}
cd ..

# Modules for GPU build
module reset
module load gpu PrgEnv-nvidia cray-hdf5-parallel cray-fftw

# Build LibXC with NVIDIA compilers
cd libxc-${LIBXCVSN}
LIBXC_DIR_nv=${PWD}/build-nvidia
autoreconf -i
./configure CC=cc CXX=CC FC=ftn MPI90=ftn pgf90=ftn --prefix=${LIBXC_DIR_nv}
make -j 32 1>make.out 2>&1
make install
cd ..

# Build QE with NVIDIA compilers
cd qe-${QEVSN}
mkdir build-nvidia && cd build-nvidia
cmake -DCMAKE_INSTALL_PREFIX=${PWD}/../../qe-build -DCMAKE_C_COMPILER=cc -DCMAKE_CXX_COMPILER=CC -DCMAKE_Fortran_COMPILER=ftn -DCMAKE_SYSTEM_NAME=CrayLinuxEnvironment -DQE_ENABLE_OPENACC=ON -DQE_ENABLE_OPENMP=ON -DQE_ENABLE_CUDA=ON -DQE_ENABLE_HDF5=ON -DQE_ENABLE_LIBXC=ON -DQE_ENABLE_PLUGINS=pw2qmcpack -DLIBXC_ROOT=${LIBXC_DIR_nv} ..
make -j 32 all 1>all.out 2>&1
make install
cd ../..

Quantum ESPRESSO + LibXC (GNU build targeting Perlmutter CPU)

#!/bin/bash
set -x

# Select LibXC and Quantum Espresso version to build
# (older versions may not be supported)
LIBXCVSN=7.0.0
QEVSN=7.4.1

# Download and extract libxc
curl -O https://gitlab.com/libxc/libxc/-/archive/${LIBXCVSN}/libxc-${LIBXCVSN}.tar.bz2 && tar -xjf libxc-${LIBXCVSN}.tar.bz2

# Clone QE repository and check out the correct release
git clone --depth 1 --branch qe-${QEVSN} https://gitlab.com/QEF/q-e qe-${QEVSN}
cd qe-${QEVSN}
cd ..

# Modules for CPU build
module reset
module load cpu PrgEnv-gnu cray-hdf5-parallel cray-fftw

# Build LibXC with GNU compilers
cd libxc-${LIBXCVSN}
LIBXC_DIR_gnu=${PWD}/build-gnu
autoreconf -i
./configure CC=cc CXX=CC FC=ftn MPI90=ftn --prefix=${LIBXC_DIR_gnu}
make -j 32 1>make.out 2>&1
make install
cd ..

# Build QE with GNU compilers
cd qe-${QEVSN}
mkdir build-gnu && cd build-gnu
cmake -DCMAKE_INSTALL_PREFIX=${PWD}/../../qe-build -DCMAKE_C_COMPILER=cc -DCMAKE_CXX_COMPILER=CC -DCMAKE_Fortran_COMPILER=ftn -DCMAKE_SYSTEM_NAME=CrayLinuxEnvironment -DQE_ENABLE_OPENMP=ON -DQE_ENABLE_HDF5=ON -DQE_ENABLE_LIBXC=ON -DQE_ENABLE_PLUGINS=pw2qmcpack -DLIBXC_ROOT=${LIBXC_DIR_gnu} ..
make -j 32 all 1>all.out 2>&1
make install
cd ../..

Tip

To run the included examples, you may need to modify the prefix and directory paths in the file environment_variables in the main QE directory.

User Contributed Information¶

Please help us improve this page

Users are invited to contribute helpful information and corrections through our GitLab repository.