Search Results - "Pacaud, François"

Accelerating optimal power flow with GPUs: SIMD abstraction of nonlinear programs and condensed-space interior-point methods by Shin, Sungho, Anitescu, Mihai, Pacaud, François

“…This paper introduces a framework for solving alternating current optimal power flow (ACOPF) problems using graphics processing units (GPUs). While GPUs have…”
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Accelerating Condensed Interior-Point Methods on SIMD/GPU Architectures by Pacaud, François, Shin, Sungho, Schanen, Michel, Maldonado, Daniel Adrian, Anitescu, Mihai

“…The interior-point method (IPM) has become the workhorse method for nonlinear programming. The performance of IPM is directly related to the linear solver…”
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A feasible reduced space method for real-time optimal power flow by Pacaud, François, Maldonado, Daniel Adrian, Shin, Sungho, Schanen, Michel, Anitescu, Mihai

“…We propose a novel feasible-path algorithm to solve the optimal power flow (OPF) problem for real-time use cases. The method augments the seminal work of…”
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Parallel interior-point solver for block-structured nonlinear programs on SIMD/GPU architectures by Pacaud, François, Schanen, Michel, Shin, Sungho, Maldonado, Daniel Adrian, Anitescu, Mihai

“…We investigate how to port the standard interior-point method to new exascale architectures for block-structured nonlinear programs with state equations…”
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Optimization of a domestic microgrid equipped with solar panel and battery: Model Predictive Control and Stochastic Dual Dynamic Programming approaches by Pacaud, François, Carpentier, Pierre, Chancelier, Jean-Philippe, De Lara, Michel

“…In this study, a microgrid with storage (battery, hot water tank) and solar panel is considered. We benchmark two algorithms, MPC and SDDP, that yield online…”
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Mixed Spatial and Temporal Decompositions for Large-Scale Multistage Stochastic Optimization Problems by Carpentier, Pierre, Chancelier, Jean-Philippe, De Lara, Michel, Pacaud, François

“…We consider multistage stochastic optimization problems involving multiple units. Each unit is a (small) control system. Static constraints couple units at…”
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Mixed Spatial and Temporal Decompositions for Large-Scale Multistage Stochastic Optimization Problems by Carpentier, Pierre, Chancelier, Jean-Philippe, de Lara, Michel, Pacaud, François

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Distributed Multistage Optimization of Large-Scale Microgrids under Stochasticity by Pacaud, François, de Lara, Michel, Chancelier, Jean-Philippe, Carpentier, Pierre

“…Microgrids are recognized as a relevant tool to absorb decentralized renewable energies in the energy mix. However, the sequential handling of multiple…”
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Stochastic decomposition applied to large-scale hydro valleys management by Carpentier, P., Chancelier, J.-Ph, Leclère, V., Pacaud, F.

“…•We present a multistage stochastic optimization problem for hydro valleys management.•We show that a direct Lagrangian decomposition method is unfit to solve…”
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GPU-accelerated dynamic nonlinear optimization with ExaModels and MadNLP by Pacaud, François, Shin, Sungho

“…We investigate the potential of Graphics Processing Units (GPUs) to solve large-scale nonlinear programs with a dynamic structure. Using ExaModels, a…”
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Exploiting GPU/SIMD Architectures for Solving Linear-Quadratic MPC Problems by Cole, David, Shin, Sungho, Pacaud, Francois, Zavala, Victor M., Anitescu, Mihai

“…We report numerical results on solving linear-quadratic model predictive control (MPC) problems by exploiting graphics processing units (GPUs). The presented…”
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Accelerating Optimal Power Flow with GPUs: SIMD Abstraction of Nonlinear Programs and Condensed-Space Interior-Point Methods by Shin, Sungho, Pacaud, François, Anitescu, Mihai

“…This paper introduces a framework for solving alternating current optimal power flow (ACOPF) problems using graphics processing units (GPUs). While GPUs have…”
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Condensed-space methods for nonlinear programming on GPUs by Pacaud, François, Shin, Sungho, Montoison, Alexis, Schanen, Michel, Anitescu, Mihai

“…This paper explores two condensed-space interior-point methods to efficiently solve large-scale nonlinear programs on graphics processing units (GPUs). The…”
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Distributed Multistage Optimization of Large-Scale Microgrids Under Stochasticity by Pacaud, Francois, De Lara, Michel, Chancelier, Jean-Philippe, Carpentier, Pierre

“…Microgrids are recognized as a relevant tool to absorb decentralized renewable energies in the energy mix. However, the sequential handling of multiple…”
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Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks by Engelmann, Alexander, Shin, Sungho, Pacaud, François, Zavala, Victor M

“…The real-time operation of large-scale infrastructure networks requires scalable optimization capabilities. Decomposition schemes can help achieve scalability;…”
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Constrained Policy Optimization for Stochastic Optimal Control under Nonstationary Uncertainties by Shin, Sungho, Pacaud, François, Contantinescu, Emil, Anitescu, Mihai

“…This article presents a constrained policy optimization approach for the optimal control of systems under nonstationary uncertainties. We introduce an…”
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Optimization of a domestic microgrid equipped with solar panel and battery: Model Predictive Control and Stochastic Dual Dynamic Programming approaches by Pacaud, François, Carpentier, Pierre, Chancelier, Jean-Philippe, de Lara, Michel

“…In this study, a microgrid with storage (battery, hot water tank) and solar panel is considered. We benchmark two algorithms, MPC and SDDP, that yield online…”
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A Globally Convergent Distributed Jacobi Scheme for Block-Structured Nonconvex Constrained Optimization Problems by Subramanyam, Anirudh, Kim, Youngdae, Schanen, Michel, Pacaud, François, Anitescu, Mihai

“…Motivated by the increasing availability of high-performance parallel computing, we design a distributed parallel algorithm for linearly-coupled…”
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Leveraging GPU batching for scalable nonlinear programming through massive Lagrangian decomposition by Kim, Youngdae, Pacaud, François, Kim, Kibaek, Anitescu, Mihai

“…We present the implementation of a trust-region Newton algorithm ExaTron for bound-constrained nonlinear programming problems, fully running on multiple GPUs…”
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Decentralized Multistage Optimization of Large-Scale Microgrids under Stochasticity by Pacaud, François, de Lara, Michel, Chancelier, Jean-Philippe, Carpentier, Pierre

“…Microgrids are recognized as a relevant tool to absorb decentralized renewable energies in the energy mix. However, the sequential handling of multiple…”
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