ExaModels.jl and MadNLP.jl on GPUs

ExaModels.jl and MadNLP.jl on GPUs - Julia Discourse

ExaModels v0.6 and MadNLP v0.8 now have full support for solving large, sparse, constrained nonlinear programs on NVIDIA GPUs up to high accuracy.

Introduction · ExaModels.jl - Exanauts

Portability: ExaModels.jl goes beyond traditional boundaries of. algebraic modeling systems by enabling derivative evaluation on GPU accelerators.

[2307.16830] Accelerating Optimal Power Flow with GPUs - arXiv

... graphics processing units (GPUs). While GPUs ... Remarkably, our implementations -- MadNLP.jl and ExaModels.jl -- running on NVIDIA GPUs ...

exanauts/ExaModels.jl: An algebraic modeling and ... - GitHub

Portability: ExaModels.jl goes beyond traditional boundaries of algebraic modeling systems by enabling derivative evaluation on GPU accelerators. Implementation ...

GPU-accelerated dynamic nonlinear optimization with ExaModels ...

MadNLP builds upon the library CUDA.jl to dispatch the operations seamlessly on the GPU, and leverages the libraries cuSPARSE and cuBLAS for ...

MadNLP: nonlinear programming on GPUs - Indico Mathrice

• Now we need GPU-equivalent of these tools: • Algebraic Modeling: ExaModels.jl. • Optimization solver: MadNLP.jl. • Sparse Linear Solvers ...

Weird empty sum behavior in JuMP - Julia Discourse

I've created other issues for MadNLP on GPU and ExaModels directly on Github this time. ... jl · GitHub and ExaModels convert_data Float32 ...

MadNLP/MadNLPBenchmark.jl: A set of benchmarks for ... - GitHub

... MadNLP/MadNLPBenchmark.jl ... ExaModels.jl as a backend (instead of JuMP). ExaModels can evaluate the derivatives either on the CPU or on a NVIDIA GPU.

Accelerating optimal power flow with GPUs: SIMD abstraction of ...

Remarkably, our implementations—MadNLP.jl and ExaModels.jl—running on NVIDIA GPUs achieve an order of magnitude speedup compared with state-of-the-art tools ...

Scalable Multi-Period AC Optimal Power Flow Utilizing GPUs with ...

This paper demonstrates the scalability of open-source GPU-accelerated nonlinear programming (NLP) frameworks—ExaModels.jl and MadNLP.jl—for solving ...

infiniteexamodels.jl: accelerating infinite-dimensional ... - JuMP-dev

GPU-accelerated nonlinear model predictive control with ExaModels and MadNLP. arXiv:2403:15913. +. +. CPU. Lifted KKT on GPU. Hybrid KKT on GPU.

Scalable Modeling of Infinite-Dimensional Nonlinear Programs with ...

jl. Moreover, Shin et al. (2023) obtain an order-of-magnitude speed on the overall solution time for ACOPF problems solved on GPUs using ExaModels.jl and MadNLP ...

2023 COIN-OR Cup Winner: ExaModels and MadNLP

... MadNLP (https://github.com/MadNLP/MadNLP.jl). Open-source software ... GPUs. These packages achieve a remarkable performance ...

MadNLP.jl : A condensed-space interior-point method for nonlinear ...

jl, an optimization solver interfaced with the NVIDIA sparse linear solver cuDSS and with the GPU-accelerated modeler ExaModels.jl. Our experiments on large- ...

GPU-Accelerated Nonlinear Programming - NREL

https://github.com/MadNLP/MadNLP.jl/. 3 of 28. Page 4 ... 2 (2017). Page 13. ds, arXiv: ExaModels.jl: a prototype for sparse automatic differentiation on GPU.

Home · MadNLP.jl

MadNLP is an open-source nonlinear programming solver, purely implemented in Julia. MadNLP implements a filter line-search interior-point algorithm, as used in ...

MadNLP/MadNLP.jl - JuMP-dev

Users can pass various options to MadNLP also through the modeling packages. The interface-specific syntax are shown below. To see the list of MadNLP solver ...

Scalable Multi-Period AC Optimal Power Flow Utilizing GPUs with ...

Abstract—This paper demonstrates the scalability of open-source GPU-accelerated nonlinear programming (NLP) frameworks—ExaModels.jl and MadNLP.jl—for ...

Condensed-space methods for nonlinear programming on GPUs

... GPUs using MadNLP.jl, an optimization solver interfaced with the NVIDIA sparse linear solver cuDSS and with the GPU-accelerated modeler ExaModels.jl. Our ...

Sungho Shin on LinkedIn: Scalable Multi-Period AC Optimal Power ...

... GPUs in this exciting time! Learn more about our approach in these papers and repositories: - MadNLP.jl: a nonlinear optimization solver for ...