MS4D – Performance through Co-Design: Toward Trustworthy, Reproducible, and Scalable Exascale Workflows
Session Chairs
Event Type
Minisymposium
Climate, Weather, and Earth Sciences
Computational Methods and Applied Mathematics
TimeWednesday, July 19:00 – 11:00 CEST
LocationBldg. 6 – Room 102
DescriptionOrganizer(s): Ali Mohammed, Utz-Uwe Haus (HPE), Florina Ciorba (University of Basel), Marta Garcia (Barcelona Supercomputing Center), and Sarah Neuwirth (Johannes Gutenberg University Mainz)
Exascale systems expand the frontier for simulation-driven discovery, data-centric analytics, and operational digital twins. However, scientific impact depends on more than peak performance. It requires co-design that aligns architectures, system software, algorithms, workflows, and data pathways with domain objectives and scientific validity constraints. This minisymposium examines workflow-centric co-design as a key practical strategy for delivering HPC results that are fast, interpretable, reproducible, and dependable at scale. Topics include context-aware performance measurement, I/O and data movement as first-class design concerns, automated provenance capture and FAIR artifact publication, and the resilience and predictability requirements of digital twin deployments, and others. By connecting time-to-solution with trust-to-solution, the minisymposium aims to surface reusable design patterns and open challenges that must be addressed to translate exascale capability into validated, reusable, and widely trusted science.
Exascale systems expand the frontier for simulation-driven discovery, data-centric analytics, and operational digital twins. However, scientific impact depends on more than peak performance. It requires co-design that aligns architectures, system software, algorithms, workflows, and data pathways with domain objectives and scientific validity constraints. This minisymposium examines workflow-centric co-design as a key practical strategy for delivering HPC results that are fast, interpretable, reproducible, and dependable at scale. Topics include context-aware performance measurement, I/O and data movement as first-class design concerns, automated provenance capture and FAIR artifact publication, and the resilience and predictability requirements of digital twin deployments, and others. By connecting time-to-solution with trust-to-solution, the minisymposium aims to surface reusable design patterns and open challenges that must be addressed to translate exascale capability into validated, reusable, and widely trusted science.
Presentations
