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Vasp 5.4.4 Installation May 2026

Installing VASP 5.4.4 typically involves a traditional make workflow centered on a specific makefile.include file that matches your system architecture. 1. Prerequisites & Environment

VASP requires a license to access source files from the VASP Portal. Most users compile using the Intel oneAPI suite (formerly Parallel Studio) because it includes the necessary Fortran compilers (ifort), MPI wrappers (mpiifort), and math libraries (MKL). 2. Installation Workflow

The general steps for a standard Linux installation are as follows:

Extract and Patch: Unpack the tarball and apply any necessary maintenance patches provided by the VASP team.

tar -xvf vasp.5.4.4.tar.gz cd vasp.5.4.4 patch -p0 < patch.5.4.4.xxxx Use code with caution. Copied to clipboard

Configure the Makefile: VASP uses a makefile.include file to define compiler paths and library locations. You can find templates in the arch/ directory. For a standard Intel environment, copy the template to the root: cp arch/makefile.include.linux_intel ./makefile.include Use code with caution. Copied to clipboard vasp 5.4.4 installation

Build the Binaries: Run the make command to compile the executable versions. make std: Standard version for k-point sampling. make gam: Gamma-point only version (optimized for speed). make ncl: Non-collinear version (for spin-orbit coupling). make all: Compiles all three. 3. Verification

Once compiled, binaries are located in the bin/ directory. You can verify the installation by running a small test job using mpirun: mpirun -n 4 /path/to/vasp.5.4.4/bin/vasp_std Use code with caution. Copied to clipboard Critical Considerations

GPU Support: If you are using NVIDIA GPUs, you must use a specific makefile.include (e.g., linux_intel_cuda) and ensure the CUDA toolkit is in your environment.

Environment Variables: It is common practice to add the line source /opt/intel/oneapi/setvars.sh to your ~/.bashrc to ensure the compilers and libraries are always available.

Support & Documentation: Detailed guides for older versions and architecture-specific tips can be found on the VASP Wiki. Installing VASP 5

Are you compiling on a specific HPC cluster or a personal workstation? Installing VASP.6.X.X - VASP Wiki

Step 4: Build the Executables

From the root directory (vasp.5.4.4), run the make command. This will compile the standard, gamma-only, and non-collinear versions automatically.

make all

If you only want to build a specific version, use:

  • make std: Standard version
  • make gam: Gamma-only version (faster for gamma-point calculations)
  • make ncl: Non-collinear version

BLAS/LAPACK/FFTW via MKL

LLIBS = -mkl=parallel

Step 2: Extracting and Preparing VASP 5.4.4

# Copy the tarball to your working directory
cp /path/to/vasp.5.4.4.tar.gz ~/software/
cd ~/software
tar -xzf vasp.5.4.4.tar.gz
cd vasp.5.4.4

Inside, you'll see directories: src/, arch/, testsuite/, etc. The key file you must create is makefile.include in the root directory. If you only want to build a specific version, use:

Conclusion: A Living Build

A VASP 5.4.4 installation is never truly "finished". As you switch clusters, compilers, or libraries, revisit makefile.include. Treat it as a configuration document. Automate it with a script that checks for $MKLROOT, $MPIROOT, and writes the appropriate flags.

Mastering this process gives you insight into Fortran's build model, MPI's ABI fragility, and the delicate balance between optimization and numerical reproducibility. You are no longer just a user; you are the keeper of a critical piece of scientific infrastructure.

I'll assume you want installation instructions and a feature-preparation checklist for VASP 5.4.4 (Vienna Ab initio Simulation Package). I'll provide (1) concise build/install steps for a typical Linux cluster (dependencies, compile options, example Makefile targets), and (2) a short "prepare a feature" checklist for developing/adding a feature in the VASP source (coding, testing, compilation, validation). If this assumption is wrong, tell me what OS/cluster and compiler/MPI/BLAS/LAPACK you use.

Flags for optimization

FFLAGS = -O2 -assume byterecl -xHost -heap-arrays 64 OFLAG = -O2 OFLAG_IN = $(OFLAG) DEBUG = -O0 -g -traceback

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