Access to data of appropriate format and quality is key to the success of our focus on data integration. While we know how to generate the necessary simulation output as required, experimental and metadata will be coming from external as well as internal sources.
Some of our research groups have a long tradition in doing both simulation and experimental research. For instance, we already operate substantial laboratory facilities to perform high-resolution and image-based experiments for turbulent free and porous media flows. In addition, we are running platforms for selected physiological and biological systems, and VISUS operates a large Visualization Lab for analyzing and understanding simulation data as well as human behavior.
We plan to expand these facilities to SimTech Experimental Platforms. The Multiphase Flow Lab and the Porous Media Lab will be enhanced to achieve higher temporal and spatial resolutions. Moreover, we will establish three additional SimTech Experimental Platforms:
- In the Neuromechanics Lab we will simultaneously measure geometrical, mechanical, and electromyographic data of individuals performing specific tasks submerged within an augmented reality environment.
- The Experimental Compute Lab allows fully instrumented simulation runs to measure fine-grained metadata on the numerical, runtime, energy, and scaling behavior.
- The heterogeneous “cloud/fog” and sensor infrastructure in the Pervasive Simulation Lab, complemented by new augmented reality and virtual reality equipment, enables user studies in pervasive simulation scenarios. This lab is linked to both the Neuromechanics and the Visualization Labs.
Regarding sensor data for environmental and energy simulations, robotics and production scenarios, and biochemical properties, we will be relying on our collaboration partners and publicly available databases for these types of data.