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

33 citations · 63 across the 10 of their papers we have counts for

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math.OC2024

Condensed Interior-Point Methods for Scalable Nonlinear Programming on GPUs

François Pacaud, Sungho Shin, Alexis Montoison +2

This paper explores two variants of condensed-space interior-point methods designed for GPUs - HyKKT and LiftedKKT - by analyzing their numerical properties through error analysis…

math.OC2024★ 2 cited

GPU-accelerated dynamic nonlinear optimization with ExaModels and MadNLP

François Pacaud, Sungho Shin

We investigate the potential of Graphics Processing Units (GPUs) to solve large-scale nonlinear programs with a dynamic structure. Using ExaModels, a GPU-accelerated automatic diff…