Handling large amounts of data requires careful code optimization in order to take full advantage of all available performance of computing environments.
Software optimization and parallelization
We specialize in the analysis and the reengineering of software to enable the maximum usage of the computational resources provided by an HPC system. Performance improvement sometimes requires the use of parallel computing tools.
Development of scientific workflows
In the scientific domain, we have many years of experience in the development of workflows for scientific simulation and parallel computing environments.
The Operations and Development teams work together to create the right synergy needed for successful projects. From single server deployments to the most complex on-cloud distributed infrastructure, we use containers, versioning, CI/CD and Infrastructure as a Code to ensure goals are met as quickly as possible.