activity
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

collaborators
Showing 2023Show all

2 papers · 1 filter

math.OC2023★ 33 cited

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

Sungho Shin, François Pacaud, Mihai Anitescu

This paper introduces a framework for solving alternating current optimal power flow (ACOPF) problems using graphics processing units (GPUs). While GPUs have demonstrated remarkabl…

math.OC2023

Parallel Interior-Point Solver for Block-Structured Nonlinear Programs on SIMD/GPU Architectures

François Pacaud, Michel Schanen, Sungho Shin +2

We investigate how to port the standard interior-point method to new exascale architectures for block-structured nonlinear programs with state equations. Computationally, we decomp…