Presentation
SIGN IN TO VIEW THIS PRESENTATION Sign In
ISAV23 Invited Keynote – Progress in In-Situ Analysis and Visualization in the Fusion Exascale Code XGC
DescriptionExascale computers are becoming a playground for scientific discovery. Using the extreme-scale kinetic fusion PIC code XGC as a proxy, this presentation will demonstrate the challenges and opportunities of in situ analysis, reduction, and visualization in our high-performance computing ecosystem, with new contributions we have made therein. The first discussion is enabling HPC science studies that have been difficult due to gap in memory size relative to FLOPS. Often, first-principles-level scientific analysis requires deep-level identifications and indexing of simulation high-dimensional simulation objects, which amplify the memory requirements to an impractically high level. Developing in situ approaches for our time and phase-space analysis and visualization, which consider specific features, minimizes the node-memory requirement and enables such studies. Another concern is addressing the growing compute speed to I/O bandwidth gap. Our data is analyzed, visualized, and compressed while being generated, without first storing it to a file system. This enables faster scientific discovery that can be used for quicker feedback to next-day experimental or simulation inputs. We also consider the potential for increased accuracy, where fine temporal and phase-space sampling of transient analysis might expose complex behavior missed by the coarse sampling that is often necessitated by adopting an off-line approach. There is also possibility for the assessment of the error and uncertainty in the predictability of the target science in parallel with the simulation, which could enable automated/AI-assisted simulation steering. Finally, we discuss building more complete data bases for AI/ML training via automated identification and healing of scientific simulation data sets in the phase spaces where previous simulation or experimental data do not exist.
Presenters
Event Type
Workshop
TimeMonday, 13 November 20239:05am - 9:30am MST
Location506
Data Analysis, Visualization, and Storage
Large Scale Systems
Performance Measurement, Modeling, and Tools
W