InSiDS

The InSiDS Toolbox has the goal to support both a flexible application and an efficient parallel execution of new in-situ algorithms during the development and evaluation process.

Description

The processing of big data from large-scale CFD simulations is a challenging task. Due to existing limitations in the data I/O system, in-situ analyses have recently gained in importance as an alternative to offline data post-processing. Furthermore, the extraction of physical and engineering knowledge from highly-resolved simulations leads to a need for new data-driven algorithms. The ‘In-Situ Data Analysis Toolbox’ provides a prototyping environment in python for the development and evaluation of new data-driven and in-situ algorithms.

Key features:

• Online (In-Situ) and offline application of the toolbox
• Simple integration with existing ML and UQ libraries in python
• Efficient back-end based on parallel linear algebra libraries
• Connection to standard in-situ interfaces and data readers
• Interactive user-interface based on a client/server setup

Tool license

Shared through a Limited Usage License agreement for scientific purposes. To be discussed on a case-by-case basis. 

Programming language

Python

Availability

Private. Distributed on a case-by-case basis. Will be public in the future.