Session

DescriptionAs HPC platforms and applications increase significantly in size, complexity, and heterogeneity, one major challenge is the widening gap between computation and our ability to gain insight from extreme-scale data and make timely, data-driven decisions. A well-known, yet challenging, approach to visual analysis, learning and processing is performing the tasks in situ, i.e., while the computed data is still resident in memory. Since 2015, ISAV has fostered a community of in situ developers, practitioners, researchers, and users of in situ methods and infrastructure, connecting industry, government laboratories, and academia across all career levels. Through presentations, discussions, and peer-reviewed proceedings of research findings, lessons learned, and early ideas, ISAV illuminates new requirements and gaps driven by science and engineering applications and fosters the application of in situ methods.