In-situ Processing and Interactive Visualization for Large-Scaled Numerical Simulations

Abstract

With the increasing power of the HPC hardware systems, numerical simulations are heading towards exa-scale computing. Early inspection and analysis of on-going large simulations enables domain experts to obtain first insight into their running simulation process and intermediate results. Compared to conventional postprocessing, such in-situ processing has the advantage of keeping data in memory, avoiding to store the large amount of raw data to disk, providing on-the-fly analysis, and preventing early failures in the simulation process. In this poster we present a distributed and scalable software infrastructure, which provides distributed insitu data processing, feature extraction and interactive exploration at user’s front-end. We have integrated and extended our system to multiple simulation applications, ranging from Lattice-Boltzmann blood flow simulation to grid based simulation for propulsion systems. A user-interactive front-end is integrated to our system, allowing to directly interact with the visualization of running simulations, gain insight, and make decisions.