Senior Engineer, Barcelona Supercomputing Center
Vishal Mehta works as a senior engineer at the Barcelona Supercomputing Center. He is motivated by a co-design approach driven by ambitious applications and influencing the software stack for the development of next-generation, exascale-ready HPC ecosystems. Vishal's fields of interest include computational mechanics, linear algebra, and GPU algorithms for computational science. He has six years of experience in working with GPUs in HPC ecosystem.
Senior Graphics Software Engineer, NVIDIA IndeX R&D, NVIDIA
Christopher Lux is a senior graphics software engineer at the NVIDIA Advanced Rendering Center. He received is PhD in computer science in 2013 from the Bauhaus-Universität Weimar, Germany. Through his interest in real-time computer graphics and scientific visualization he early on focused his work on the interactive visualization of large-scale datasets from the geo-scientific and medical domain.
Sr. Engineering Manager, Product Technology Lead, NVIDIA IndeX, NVIDIA
Marc Nienhaus is the product technology lead of the NVIDIA IndeX(TM) commercial software at NVIDIA. He manages the NVIDA IndeX software engineering team and is responsible for overall product architecture and applications in various domains. Before joining mental images' R&D rendering department and NVIDIA, Marc was a postdoc at Northwestern University and led research projects at the University of Potsdam. His research interests include parallel and distributed rendering and computing, scientific visualization, GPU-based rendering, and photorealistic and non-photorealistic expressive depictions. He holds a master's in mathematics with a minor in computer science from the University of Muenster and a Ph.D. in computer science from the Hasso Plattner Institute at the University of Potsdam. Marc has published various papers on GPU-based real-time rendering and non-photorealistic rendering.
We'll discuss how NVIDIA IndeX™ Advanced Rendering Tools are helping researchers get more insight through in-situ visualizations. HPC applications have always been centered around large computations, small input, and extremely large simulated output. HPC applications running on big supercomputers are executed using a queuing system, where researchers have to wait a couple of hours before analyzing the outputs. We've designed essential software components that allow in-situ visualizations of sparse volume data from ALYA multiphysics simulation code (Barcelona Supercomputing Center) using NVIDIA IndeX. ALYA multiphysics is one of the two European exascale benchmarks and is used in targeted medicine, cardiac modeling, renewable energy, etc. We'll guide you through techniques that have been used in enabling in-situ rendering and analysis of data.
Tags: In-Situ & Scientific Visualization; Supercomputing & HPC