Lizenzierung – Systemvoraussetzungen der Amsterdam Modeling Suite (AMS)

System requirements for Amsterdam Modeling Suite (AMS)


AMS2018 can be used on anything from a simple laptop to big Linux cluster environments, and is tested on a wide variety of hardware.

Recommended minimum hardware specification:

  • Intel i5 or better 64bit CPU
  • 8GB RAM
  • 250GB SSD
  • OpenGL 3.2 graphics

Absolute minimum hardware specification:

  • 64bit CPU
  • 2GB RAM
  • 6GB storage for installation
  • OpenGL 1.4 graphics

Supported Operating Systems:

  • Windows 7/8/10
  • OSX 10.9, but OSX10.11 or newer is recommended
  • Linux with GLIBC v2.11 or higher: CentOS/RHEL 6 or 7, Debian 6 or newer, SUSE 11.3 or newer, Ubuntu 10.04 or newer, etc.

Specific hardware and software requirements for the AMS package depend on the platform. The list of supported platforms, including information on the operating system, parallel environment (MPI), and compilers used is available in the Download section of the SCM website.

Detailed Hardware requirements


AMS2018 runs on any x86_64 CPU, but performs best on modern Intel CPUs with AVX or AVX-512 instruction sets. Intel CPUs in general have better floating point performance compared to AMD processors, and AMS spends most time on floating point operations. However, AMS2018 is also available in an OpenBLAS flavor optimized for running on AMD Zen architecture (Ryzen/Threadripper/Epyc CPUs).


In a parallel calculation, the total amount of memory used by the job is a sum of that used by each process. Starting from ADF2010, some large chunks of data are placed in the shared memory so the sum rule does not strictly hold. In principle, it is more correct to count memory per process but since AMS is an MPI program it runs most efficiently when the number of processes corresponds to the number of physical processors cores. Therefore, all memory amounts below are per processor core.

The amount of RAM per core needed to run AMS depends greatly on the kind of calculation you perform. For small calculations, 256 MB will be sufficient, but if there is a lot of memory available AMS may run significantly faster. A large amount memory also reduces the load on the disks, which may speed up your calculation depending on the I/O sub-system and the operating system.

The memory requirement increases with the system size. For example, for a molecule containing 100 atoms with a DZ basis set it may be sufficient to have 256 MB but for a molecule with 1000 atoms up to 8 gigabytes may be required. Also, if you are going to perform TDDFT, relativistic spin-orbit or analytical frequency calculations then the amount of memory should be larger. As an indication, an analytical vibrational frequency calculation of a organometallic complex containing 105 atoms with a TZP basis set uses up to 1GB of RAM per process but it can be done with less, even though not as efficiently.


For installation of the package on Linux/Unix you need from about 5GB (without sources) to 8GB (with sources and compiled objects). The run-time (scratch) disk space requirements greatly depend on what type of calculation you perform. For the ADF program, it may range from a few megabytes for a small molecule up to a hundred gigabytes for a large molecule with a large basis set, the amount scaling quadratically with the system size. Using a Solid State Drive (SSD) helps performance, especially for bigger calculations.


First of all, a network card must be present in the computer as its hardware MAC address is used as the computer's ID for the licensing.

In order to enable MPI on a standalone Windows computer, one may need to create a dummy network connection by adding a network "card" called Microsoft Loopback Adapter. This interface will be assigned an IP address from a private range.

Multi-host parallel performance.

As far as performance concerned, a switched Gigabit Ethernet network is typically sufficient for good parallel performance on up to four nodes if the nodes do not have too many CPU cores per node. If you are going to use more nodes, or nodes with high core count (>16 cores per node), you may need faster communication hardware, such as Infiniband, to get good performance. Please note that multi-host execution is not supported on Windows.


Starting with ADF2017, the GUI requires OpenGL 3.2 to run. For Linux and Windows users there is an OpenGL1 fallback mode availble for older hardware, please read more about it in the Remote GUI documentation.

Software requirements

Operating System

The package runs on Windows and on the following Unix variants: Linux, Mac OS X.

On the Apple systems the Mac OS X 10.9 and newer is supported, but we recommend using OS X 10.11 or newer.

On linux both the compute engines, python scripting environment and GUI require a GLIBC version of 2.11 or higher. AMS is compiled on CentOS 6, the code gets tested daily on CentOS 6, Ubuntu 16.04, Ubuntu 18.04 and Arch.

The Windows version of AMS is supported on Windows 7, 8, 8.1 and 10.

Additional libraries

Certain version of AMS will require different libraries to be installed on the system depending on the MPI library used.


In order to run the the graphical user interface (GUI) the computer needs to have an OpenGL-capable graphics subsystem (hardware, drivers and libraries). Besides that, on Linux the following (or equivalent) packages must be installed:

libXScrnSaver (Ubuntu users may need to install libXss1)  

The GUI will not able to start without shared libraries provided by these packages.

NOTE: If you receive an error about libXss ( cannot open shared object file: No such file or directory), you need to install libXScrnSaver (redhat/centos: yum install libXScrnSaver) or libxss1 (ubuntu/debian: sudo apt install libxss1).


If you have a license for the source code, you can compile the source yourself, with or without your own modifications.

The source consists mainly of Fortran95/2003 code, with some small parts written in C. Some of the Fortran2003 features are also used so a compiler supporting it is required. You must use object-compatible Fortran and C compilers to those we are using on the same platform, since some parts of the code are available only as object modules. For all x86 platforms it is currently Intel Fortran 18 or newer. It is very unlikely that other compilers, or even a different major version of the same compiler, will work with these object modules. We cannot support compilers different from what we are using ourselves.

To check which compiler to use, check the detailed machine information in the Download section of the SCM website.

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