PerQueue: managing complex and dynamic workflows.
Digit Discov
; 3(9): 1832-1841, 2024 Sep 11.
Article
en En
| MEDLINE
| ID: mdl-39157759
ABSTRACT
Workflow managers play a critical role in the efficient planning and execution of complex workloads. A handful of these already exist within the world of computational materials discovery, but their dynamic capabilities are somewhat lacking. The PerQueue workflow manager is the answer to this need. By utilizing modular and dynamic building blocks to define a workflow explicitly before starting, PerQueue can give a better overview of the workflow while allowing full flexibility and high dynamism. To exemplify its usage, we present four use cases at different scales within computational materials discovery. These encapsulate high-throughput screening with Density Functional Theory, using active learning to train a Machine-Learning Interatomic Potential with Molecular Dynamics and reusing this potential for kinetic Monte Carlo simulations of extended systems. Lastly, it is used for an active-learning-accelerated image segmentation procedure with a human-in-the-loop.
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1
Colección:
01-internacional
Base de datos:
MEDLINE
Idioma:
En
Revista:
Digit Discov
Año:
2024
Tipo del documento:
Article
Pais de publicación:
Reino Unido