Session

DescriptionThe increasing complexity and heterogeneity of modern scientific applications require advanced approaches to orchestrating and optimizing computational workflows across high-performance computing (HPC) and cloud environments. Scientific domains such as materials science, earth system modelling, and life sciences increasingly rely on complex, data- and compute-intensive workflows that span heterogeneous infrastructures and software stacks. This workshop aims to bring together researchers, software developers, and infrastructure providers to explore workflow management and system co-design in the context of real-world applications. The minisymposium cover three use cases, each representing a distinct scientific domain: materials design and discovery, earth science, and computational life sciences. Each session will showcase domain-specific challenges in workflow definition, execution, and optimization across distributed resources, illustrating how workflow tools and HPC/cloud integration can accelerate scientific innovation. A concluding panel discussion will gather experts in HPC architecture, workflow runtime systems, and scientific software engineering to reflect on cross-domain lessons, best practices, and the future of workflow co-design at exascale. The workshop will foster interdisciplinary exchange between domain scientists and technology developers, promoting collaboration toward the next generation of interoperable, efficient, and sustainable workflow solutions for scientific discovery.