Dr. Chilingaryan's research interests include data management systems for large scientific experiments, high-performance and heterogeneous computing, computer architectures, and parallel algorithms. Dr. Chilingaryan graduated in mathematics from Moscow State University and was awarded a doctoral degree in Computer Science from Armenian National Academy of Sciences. At KIT, he participated in multiple projects helping to build faster data acquisition and control systems by optimizing the data flow from the fast FPGA-based detectors and speeding up processing using GPU workstations interconnected with Infiniband fabric. Dr. Chilingaryan led a software work package of the UFO (Ultra Fast tOmography) project aimed to build novel instrumentation for high-speed synchrotron imaging with online reconstruction and image-based feedback loop. Dr. Chilingaryan also maintains the data management platform for the KATRIN experiment.

Recent improvements in detector instrumentation provide unprecedented details to researchers. At the same time, the data rates are continuously increasing. It is a challenge to quickly and efficiently extract knowledge from the vast volumes of data and present it to users in easy to interpret visual form. We will share experience in building a data catalog for tomography beamline at KIT synchrotron and will discuss techniques to enable remote visualization of terabyte-scale volumes with good interactivity and high-level of details.