# Default precompiler options
CPP_OPTIONS = -DHOST=\"LinuxIFC\" \
-DMPI -DMPI_BLOCK=8000 -Duse_collective \
-DscaLAPACK \
-DCACHE_SIZE=4000 \
-Davoidalloc \
-Dvasp6 \
-Dtbdyn \
-Dfock_dblbuf
CPP = fpp -f_com=no -free -w0 $*$(FUFFIX) $*$(SUFFIX) $(CPP_OPTIONS)
FC = mpiifort -fc=ifx
FCL = mpiifort -fc=ifx
FREE = -free -names lowercase
FFLAGS = -assume byterecl -w
OFLAG = -O2
OFLAG_IN = $(OFLAG)
DEBUG = -O0
# For what used to be vasp.5.lib
CPP_LIB = $(CPP)
FC_LIB = $(FC)
CC_LIB = icx
CFLAGS_LIB = -O
FFLAGS_LIB = -O1
FREE_LIB = $(FREE)
OBJECTS_LIB = linpack_double.o
# For the parser library
CXX_PARS = icpx
LLIBS = -lstdc++
##
## Customize as of this point! Of course you may change the preceding
## part of this file as well if you like, but it should rarely be
## necessary ...
##
# When compiling on the target machine itself, change this to the
# relevant target when cross-compiling for another architecture
VASP_TARGET_CPU ?= -xHOST
FFLAGS += $(VASP_TARGET_CPU)
# Intel MKL (FFTW, BLAS, LAPACK, and scaLAPACK)
# (Note: for Intel Parallel Studio's MKL use -mkl instead of -qmkl)
FCL += -qmkl=sequential
MKLROOT ?= /path/to/your/mkl/installation
LLIBS += -L$(MKLROOT)/lib/intel64 -lmkl_scalapack_lp64 -lmkl_blacs_intelmpi_lp64
INCS =-I$(MKLROOT)/include/fftw
# HDF5-support (optional but strongly recommended, and mandatory for some features)
#CPP_OPTIONS+= -DVASP_HDF5
#HDF5_ROOT ?= /path/to/your/hdf5/installation
#LLIBS += -L$(HDF5_ROOT)/lib -lhdf5_fortran
#INCS += -I$(HDF5_ROOT)/include
# For the VASP-2-Wannier90 interface (optional)
#CPP_OPTIONS += -DVASP2WANNIER90
#WANNIER90_ROOT ?= /path/to/your/wannier90/installation
#LLIBS += -L$(WANNIER90_ROOT)/lib -lwannier
# For machine learning library vaspml (experimental)
#CPP_OPTIONS += -Dlibvaspml
#CPP_OPTIONS += -DVASPML_USE_CBLAS
#CPP_OPTIONS += -DVASPML_USE_MKL
#CPP_OPTIONS += -DVASPML_DEBUG_LEVEL=3
#CXX_ML = mpiicpc -cxx=icpx
#CXXFLAGS_ML = -O3 -std=c++17 -Wall
#INCLUDE_ML =
makefile.include
