@misc{dc37879120c24a239687501befa9cf87,
title = "mpi-sppy: Optimization Under Uncertainty for Pyomo",
abstract = "We introduce a new Pyomo extension for optimization under uncertainty, mpi-sppy. This extension allows for the mixing of, and sharing of information between, various algorithmic approaches for optimization under uncertainty. We will discuss the underlying architecture and assess the performance and scalability of mpi-sppy on various systems, including HPC clusters.",
keywords = "parallel programming, stochastic optimization, unit commitment",
author = "Bernard Knueven and David Mildebrath and Christopher Muir and John Siirola and David Woodruff and Jean-Paul Watson",
year = "2020",
language = "American English",
series = "Presented at the INFORMS Annual Meeting 2020, 9-13 November 2020",
type = "Other",
}