toolchain_intel.sh

#!/bin/bash
#SBATCH -J install
#SBATCH -N 1
#SBATCH -n 16
#SBATCH -o compile.log
#SBATCH -e compile.err

# JamesMisaka in 2023-08-31
# install abacus dependency by intel-toolchain
# use mkl and intelmpi
# but mpich and openmpi can also be tried
# libtorch and libnpy are for deepks support, which can be =no

# module load mkl mpi compiler
export CUDA_PATH=/usr/local/cuda
./install_abacus_toolchain.sh \
--with-intel=system \
--math-mode=mkl \
--with-gcc=no \
--with-intelmpi=system \
--with-cmake=install \
--with-scalapack=no \
--with-libxc=install \
--with-fftw=no \
--with-elpa=install \
--with-cereal=install \
--with-rapidjson=install \
--with-libtorch=no \
--with-libnpy=no \
--with-libri=no \
--with-libcomm=no \
--with-intel-classic=no \
| tee compile.log
# for using AMD-CPU or GPU-version: set --with-intel-classic=yes
# to enable gpu-lcao, add the following lines:
# --enable-cuda \
# --gpu-ver=75 \ 
# one should check your gpu compute capability number 
# and use it in --gpu-ver