Vijay Mahadevan
Vijay Mahadevan
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HPC
Advanced Partitioning Strategies for Scalable Remapping in Climate Models
New inferred partitioning strategy reduces time for mesh intersection, enabling coupling of extreme-size meshes
Mar 4, 2021 5:00 PM
SIAM 2021 Conference on Computational Science and Engineering (virtual)
Iulian Grindeanu
,
Vijay S. Mahadevan
,
Karen Devine
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Project
Lessons learned from integrating scientific libraries within a plugin-based architecture
Designing interoperable software is critical to boosting scientific productivity in research applications, especially when exposed through flexible interfaces and plugin frameworks. Such scalable applications with complex dependency chains require rigorous source management, continuous testing and flexible deployment processes. The lessons learned during the development of a VisIt-MOAB plugin has led us to question certain library design choices, and emphasized the need for creating better processes that are resilient to software interface and lifecycle changes.
Mar 1, 2017 5:00 PM
SIAM 2017 Conference on Computational Science and Engineering
Vijay S. Mahadevan
,
Mark C. Miller
,
Iulian Grindeanu
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