François Pacaud | DeepAI

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Featured Co-authors

Mihai Anitescu
24 publications
Sungho Shin
21 publications
Victor M. Zavala
12 publications
Valentin Churavy
10 publications
Kibaek Kim
6 publications
Youngdae Kim
5 publications
Alexis Montoison
4 publications
Alexander Engelmann
4 publications
Daniel Adrian Maldonado
4 publications
Michel Schanen
3 publications
Julian Samaroo
1 publication

research

∙ 07/31/2023

Accelerating Optimal Power Flow with GPUs: SIMD Abstraction of Nonlinear Programs and Condensed-Space Interior-Point Methods

This paper introduces a novel computational framework for solving altern...

0 Sungho Shin, et al. ∙

research

∙ 12/22/2022

Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks

The real-time operation of large-scale infrastructure networks requires ...

0 Alexander Engelmann, et al. ∙

research

∙ 01/01/2022

Batched Second-Order Adjoint Sensitivity for Reduced Space Methods

This paper presents an efficient method for extracting the second-order ...

0 François Pacaud, et al. ∙

research

∙ 06/28/2021

Leveraging GPU batching for scalable nonlinear programming through massive Lagrangian decomposition

We present the implementation of a trust-region Newton algorithm ExaTron...

0 Youngdae Kim, et al. ∙