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20212026
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.OC2021★ 8 cited

A Feasible Reduced Space Method for Real-Time Optimal Power Flow

François Pacaud, Daniel Adrian Maldonado, Sungho Shin +2

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 Dommel and Tinney with sec…

math.OC2021★ 14 cited

Leveraging GPU batching for scalable nonlinear programming through massive Lagrangian decomposition

Youngdae Kim, François Pacaud, Kibaek Kim +1

We present the implementation of a trust-region Newton algorithm ExaTron for bound-constrained nonlinear programming problems, fully running on multiple GPUs. Without data transfer…