François Pacaud

According to our database, François Pacaud authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Accelerating Condensed Interior-Point Methods on SIMD/GPU Architectures.

François Pacaud, Sungho Shin, Michel Schanen, Daniel Adrian Maldonado, Mihai Anitescu

J. Optim. Theory Appl., July, 2024

Parallel interior-point solver for block-structured nonlinear programs on SIMD/GPU architectures.

François Pacaud, Michel Schanen, Sungho Shin, Daniel Adrian Maldonado, Mihai Anitescu

Optim. Methods Softw., 2024

2023

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

Sungho Shin, François Pacaud, Mihai Anitescu

CoRR, 2023

Constrained Policy Optimization for Stochastic Optimal Control under Nonstationary Uncertainties^*.

Sungho Shin, François Pacaud, Emil Contantinescu, Mihai Anitescu

Proceedings of the American Control Conference, 2023

Exploiting GPU/SIMD Architectures for Solving Linear-Quadratic MPC Problems^*.

David L. Cole, Sungho Shin, François Pacaud, Victor M. Zavala, Mihai Anitescu

Proceedings of the American Control Conference, 2023

2022

Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks.

Alexander Engelmann, Sungho Shin, François Pacaud, Victor M. Zavala

CoRR, 2022

Batched Second-Order Adjoint Sensitivity for Reduced Space Methods.

François Pacaud, Michel Schanen, Daniel Adrian Maldonado, Alexis Montoison, Valentin Churavy, Julian Samaroo, Mihai Anitescu

Proceedings of the 2022 SIAM Conference on Parallel Processing for Scientific Computing, 2022

2021

Leveraging GPU batching for scalable nonlinear programming through massive Lagrangian decomposition.

Youngdae Kim, François Pacaud, Kibaek Kim, Mihai Anitescu

CoRR, 2021

Domain Decomposition Preconditioners for Unstructured Network Problems in Parallel Vector Architectures.

Daniel Adrian Maldonado, Michel Schanen, François Pacaud, Mihai Anitescu

Proceedings of the ICPP Workshops 2021: 50th International Conference on Parallel Processing, 2021

2020

Exact Converging Bounds for Stochastic Dual Dynamic Programming via Fenchel Duality.

Vincent Leclère, Pierre Carpentier, Jean-Philippe Chancelier, Arnaud Lenoir, François Pacaud

SIAM J. Optim., 2020

Mixed Spatial and Temporal Decompositions for Large-Scale Multistage Stochastic Optimization Problems.

Pierre Carpentier, Jean-Philippe Chancelier, Michel De Lara, François Pacaud

J. Optim. Theory Appl., 2020

2018

Stochastic decomposition applied to large-scale hydro valleys management.

Pierre Carpentier, Jean-Philippe Chancelier, Vincent Leclère, François Pacaud

Eur. J. Oper. Res., 2018