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, challenging approach is in situ processing– performing as much analysis as possible while computed data stays resident in memory. ISAV goes one step further: in its 10th year, in situ analysis has evolved from research efforts to a central component in supercomputer, cloud and edge applications. ISAV is a community of developers, practitioners, researchers, and users of in situ methods and infrastructure, connecting industry, government, and academia across all career levels. Through presentations and discussions of research findings, lessons learned, and early ideas, ISAV illuminates new requirements driven by science and engineering applications and fosters the community members and knowledge base around development and application of in situ methods with peer reviewed proceedings.