From the very beginning the code we have written has been made available to the public as Free Software. We have been using the GPL license for all our software. Over the last years it has been increasingly difficult to obtain sufficient funding to carry out our contribution the further development of the various software projects we are involved in – most notable GETM and GOTM . As a consequence we will try out a ‘crowd funding’ approach where we will try to obtain the funding of our contributions through financial contribution from the users of the software. The idea is that we develop a new feature (either on our own initiative or through the request from others) and – when – in a state where it is ready for beta-release we announce the software on this site together with an amount to cover our development expenses. In case sufficient funds can be raised the new feature will be released to the public via the public git repository.

Projects by the hour

We focus on the development and application of FABM, GOTM and GETM . For instance, we can develop new functionality for these software packages: in consultation with the client, we define a project that will implement, test and deliver a high quality component. Typically, the result of these developments will be included in the public repository with a proper acknowledgement. In cases where we have full copyright of the software – typically everything but GOTM and GETM – custom tailored licensing agreements can be arranged. This might be appropriate in cases where proprietary data are included.

Using Amazon Elastic Cloud/Amazon Web Services we can assist in the following project types:

Configuring a GOTM auto-calibration job on a massive parallel computer using ACPy . The search for an optimal parameter set to be used for a GOTM setup is a very computer intensive task. Using Amazon services we can assist in configuring the job to do the task.

We can also create simulation setups from the ground – i.e. prepare all necessary input files, create necessary configuration files and perform basic test simulations. We might even implement the setups on Amazon Elastic Cloud/Amazon Web Services. This will allow you to run massive parallel very compute intensive fully 3D simulations without to have to invest in dedicated hardware.

If any of the above is interesting please contact us if you for further discussion.