The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop: The 17th Workshop on Workflows in Support of Large-Scale Science (WORKS22)
Authors: Stephen Hudson, Jeffrey Larson, John-Luke Navarro, and Stefan Wild (Argonne National Laboratory (ANL))
Abstract: libEnsemble is a Python toolkit for running dynamic ensembles of simulations. libEnsemble aims to minimize the effort of the user in describing their workflow via generator and simulator functions written in Python, and to maximize code reuse by maintaining a library of existing functions. Example generator functions perform optimizations, train models, and test candidate solutions. This work highlights how libEnsemble’s dynamic features have enabled practical multi-fidelity workflows.
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