Speaker
Scot Breitenfeld
(The HDF Group)
Description
Scientific workflows are evolving rapidly, demanding the seamless integration of simulation, experiments, analytics, and AI. This evolution is placing immense pressure on traditional data management systems. To address these challenges, we present IOwarp, a new initiative focused on building a comprehensive data management platform. IOwarp aims to streamline complex scientific workflows by providing scalable and efficient data access, movement, transformation, and sharing capabilities. We will discuss the core architecture of IOwarp and will highlight the complementary roles of IOwarp in modern scientific data management. We welcome feedback and collaboration to further develop and refine these tools for the scientific community.
| May we record your session? | Yes |
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Primary author
Scot Breitenfeld
(The HDF Group)
Co-authors
Anthony Kougkas
(Illinois Institute of Technology)
Gerd Heber
(The HDF Group)
Jacob Hochhalter
(University of Utah)
Vivek Srikumar
(University of Utah)
Xian-He Sun
(Illinois Institute of Technology)
