HPC & Cloud computing
At Wolf Dynamics, we have extensive experience using high performance computing (HPC) applications and hardware. We can help you choosing and configuring your servers and workstations in order to tackle your computational demanding applications.
If you choose to use open-source applications (such as OpenFOAM®, DAKOTA, Python, R, SU2, PETSC and so on), we can guide you during the compilation and installation process. We can also provide you with pre-compiled packages ready to use with your operating system. And of course, we can offer software support and training.
On the other side, if you prefer the user friendliness, reliability and robustness of commercial applications (Ansys Suite, Star-CCM+, MSC suite); together with the DLTM (our technological partner), we can lease you a commercial license. And to help you take the most of these applications, we also offer software support and training.
If you are looking for on-demand HPC resources to run your computing intensive applications, we can use DLTM's cluster which has been optimized for scientific computing, 3D modeling and rendering, and big data (click here to download the cluster specifications).
If you prefer to build your own personal cluster on the Cloud, or you are looking for more computational resources (computing nodes and storage) at very affordable prices, we can deploy your applications using Amazon Elastic Compute Cloud platform (Amazon EC2). Moving to the Cloud is the most cost-effective option for users that are cost sensitive and do not require a dedicated cluster or server for running their applications.
We can provide you with an Amazon Machine Image (AMI) ready to be used with Amazon Elastic Compute Cloud and we can generate all the scripts for deploying parametric studies.
If you want to try our Amazon Machine Image (AMI), sign in or create an Amazon Web Service (AWS) account (it is free), and then look for the Amazon Machine Image openfoam wolfdynamics in the community AMIs.
If you want to try a virtual machine containing a few of the applications that can be deployed in Amazon EC2, visit this link.