GPU-accelerated dynamic nonlinear optimization with ExaModels and MadNLP
Fuente:
arXiv
Saved in:
| Main Authors: | Pacaud, François, Shin, Sungho |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MadNCL: A GPU Implementation of Algorithm NCL for Large-Scale, Degenerate Nonlinear Programs
by: Montoison, Alexis, et al.
Published: (2025)
by: Montoison, Alexis, et al.
Published: (2025)
GPU Implementation of Second-Order Linear and Nonlinear Programming Solvers
by: Montoison, Alexis, et al.
Published: (2025)
by: Montoison, Alexis, et al.
Published: (2025)
An Augmented Lagrangian Method on GPU for Security-Constrained AC Optimal Power Flow
by: Pacaud, François, et al.
Published: (2025)
by: Pacaud, François, et al.
Published: (2025)
ExaModelsPower.jl: A GPU-Compatible Modeling Library for Nonlinear Power System Optimization
by: Johnson, Sanjay, et al.
Published: (2025)
by: Johnson, Sanjay, et al.
Published: (2025)
Condensed-space methods for nonlinear programming on GPUs
by: Pacaud, François, et al.
Published: (2024)
by: Pacaud, François, et al.
Published: (2024)
Exploiting GPU/SIMD Architectures for Solving Linear-Quadratic MPC Problems
by: Cole, David, et al.
Published: (2022)
by: Cole, David, et al.
Published: (2022)
Constrained Policy Optimization for Stochastic Optimal Control under Nonstationary Uncertainties
by: Shin, Sungho, et al.
Published: (2022)
by: Shin, Sungho, et al.
Published: (2022)
Accelerating Optimal Power Flow with GPUs: SIMD Abstraction of Nonlinear Programs and Condensed-Space Interior-Point Methods
by: Shin, Sungho, et al.
Published: (2023)
by: Shin, Sungho, et al.
Published: (2023)
Sensitivity analysis for parametric nonlinear programming: A tutorial
by: Pacaud, François
Published: (2025)
by: Pacaud, François
Published: (2025)
A Feasible Reduced Space Method for Real-Time Optimal Power Flow
by: Pacaud, François, et al.
Published: (2021)
by: Pacaud, François, et al.
Published: (2021)
Recovering sparse DFT from missing signals via interior point method on GPU
by: Kuang, Wei, et al.
Published: (2025)
by: Kuang, Wei, et al.
Published: (2025)
Diffusing-Horizon Model Predictive Control
by: Shin, Sungho, et al.
Published: (2020)
by: Shin, Sungho, et al.
Published: (2020)
Near-Optimal Performance of Stochastic Model Predictive Control
by: Shin, Sungho, et al.
Published: (2022)
by: Shin, Sungho, et al.
Published: (2022)
Computational acceleration strategies for large-scale energy system optimization: a comparative study of GPU-accelerated and distributed-memory solvers
by: Zittel, Janina, et al.
Published: (2026)
by: Zittel, Janina, et al.
Published: (2026)
Controllability and Observability Imply Exponential Decay of Sensitivity in Dynamic Optimization
by: Shin, Sungho, et al.
Published: (2021)
by: Shin, Sungho, et al.
Published: (2021)
A Graph-Based Modeling Abstraction for Optimization: Concepts and Implementation in Plasmo.jl
by: Jalving, Jordan, et al.
Published: (2020)
by: Jalving, Jordan, et al.
Published: (2020)
Watts vs. Bytes: Turning Data Centers into Grid Assets via Storage Compute Co-Optimization
by: Liu, Shaohui, et al.
Published: (2026)
by: Liu, Shaohui, et al.
Published: (2026)
Approximate Dynamic Programming for Degradation-aware Market Participation of Battery Energy Storage Systems: Bridging Market and Degradation Timescales
by: Holtorf, Flemming, et al.
Published: (2026)
by: Holtorf, Flemming, et al.
Published: (2026)
Graph-Based Modeling and Decomposition of Energy Infrastructures
by: Shin, Sungho, et al.
Published: (2020)
by: Shin, Sungho, et al.
Published: (2020)
A GPU-accelerated Nonlinear Branch-and-Bound Framework for Sparse Linear Models
by: Meng, Xiang, et al.
Published: (2026)
by: Meng, Xiang, et al.
Published: (2026)
Exponential Decay of Sensitivity in Graph-Structured Nonlinear Programs
by: Shin, Sungho, et al.
Published: (2021)
by: Shin, Sungho, et al.
Published: (2021)
A Julia Framework for Graph-Structured Nonlinear Optimization
by: Cole, David L, et al.
Published: (2022)
by: Cole, David L, et al.
Published: (2022)
Warehouse storage and retrieval optimization via clustering, dynamical systems modeling, and GPU-accelerated routing
by: Bengtsson, Magnus, et al.
Published: (2025)
by: Bengtsson, Magnus, et al.
Published: (2025)
Improved Approximation Bounds for Moore-Penrose Inverses of Banded Matrices with Applications to Continuous-Time Linear Quadratic Control
by: Shin, Sungho, et al.
Published: (2024)
by: Shin, Sungho, et al.
Published: (2024)
Empirical and computer-aided robustness analysis of long-step and accelerated methods in smooth convex optimization
by: Vernimmen, Pierre, et al.
Published: (2025)
by: Vernimmen, Pierre, et al.
Published: (2025)
The value of storage in electricity distribution: The role of markets
by: Lauinger, Dirk, et al.
Published: (2025)
by: Lauinger, Dirk, et al.
Published: (2025)
Feedback control solves pseudoconvex optimal tracking problems in nonlinear dynamical systems
by: Hu, Tingli, et al.
Published: (2025)
by: Hu, Tingli, et al.
Published: (2025)
An accelerated proximal bundle method for convex optimization
by: Liao, Feng-Yi, et al.
Published: (2025)
by: Liao, Feng-Yi, et al.
Published: (2025)
PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration
by: Wu, Hongfei, et al.
Published: (2025)
by: Wu, Hongfei, et al.
Published: (2025)
Parallel Sequential Quadratic Programming with Overlapping Graph Decomposition and Exact Augmented Lagrangian
by: Ni, Runxin, et al.
Published: (2024)
by: Ni, Runxin, et al.
Published: (2024)
GPU-accelerated Modeling of Biological Regulatory Networks
by: Reimer, Joyce, et al.
Published: (2025)
by: Reimer, Joyce, et al.
Published: (2025)
Optimal Operation and Valuation of Electricity Storages
by: Chancelier, Jean-Philippe, et al.
Published: (2025)
by: Chancelier, Jean-Philippe, et al.
Published: (2025)
Scalable Multi-Period AC Optimal Power Flow Utilizing GPUs with High Memory Capacities
by: Shin, Sungho, et al.
Published: (2024)
by: Shin, Sungho, et al.
Published: (2024)
Anderson acceleration of derivative-free projection methods for constrained monotone nonlinear equations
by: Jin, Jiachen, et al.
Published: (2024)
by: Jin, Jiachen, et al.
Published: (2024)
Optimal Operation and Valuation of Electricity Storages in Intraday Markets
by: Chancelier, Jean-Philippe, et al.
Published: (2025)
by: Chancelier, Jean-Philippe, et al.
Published: (2025)
Full characterization of core for nonlinear optimization games
by: Du, Donglei, et al.
Published: (2026)
by: Du, Donglei, et al.
Published: (2026)
GPU-accelerated FREDopt package for simultaneous dose and LETd proton radiotherapy plan optimization via superiorization methods
by: Borys, Damian, et al.
Published: (2025)
by: Borys, Damian, et al.
Published: (2025)
Online convex optimization for constrained control of nonlinear systems
by: Nonhoff, Marko, et al.
Published: (2024)
by: Nonhoff, Marko, et al.
Published: (2024)
Continuous and discrete-time accelerated methods for an inequality constrained convex optimization problem
by: Liu, Juan, et al.
Published: (2024)
by: Liu, Juan, et al.
Published: (2024)
An accelerated semi-proximal ADMM with applications to multi-block sparse optimization problems
by: Liu, Peng, et al.
Published: (2025)
by: Liu, Peng, et al.
Published: (2025)
Similar Items
-
MadNCL: A GPU Implementation of Algorithm NCL for Large-Scale, Degenerate Nonlinear Programs
by: Montoison, Alexis, et al.
Published: (2025) -
GPU Implementation of Second-Order Linear and Nonlinear Programming Solvers
by: Montoison, Alexis, et al.
Published: (2025) -
An Augmented Lagrangian Method on GPU for Security-Constrained AC Optimal Power Flow
by: Pacaud, François, et al.
Published: (2025) -
ExaModelsPower.jl: A GPU-Compatible Modeling Library for Nonlinear Power System Optimization
by: Johnson, Sanjay, et al.
Published: (2025) -
Condensed-space methods for nonlinear programming on GPUs
by: Pacaud, François, et al.
Published: (2024)