Session

DescriptionScientific campaigns are increasingly tightening the feedback and validation loop between simulation and observational data. The linking of experimental and observational data from empirically driven facilities with computational facilities is giving rise to cross-facility workflows and needs to peer traditional modeling and simulation and high-performance data science. The dramatic increases in luminosity and data collection capabilities are also forcing HPC centers to support modes of operation such as interactivity and adaptive computation. As we scale up such pipelines for scientific discovery, cross-facility and intra-facility workflows require each participating facility and system to overcome interface hurdles to work seamlessly in an end-to-end manner. We bring together the perspectives of disparate collaborating facilities and experts, explore HPC and data intensive science (including observational science) needs, and aim to offer a roadmap for how cross-facility collaborations can be more effective by peering HPC and data-driven science. The session consists of talks by CSCS, PSI, and ORNL, and conclude with a panel. We summarize each facility’s perspective and pose leading questions to our panel to invite targeted responses.