Our recent work on solving AC optimal power flow on GPUs have been highlighted in NVIDIA's technical blog. This posting highlights how our team has exploited the capabilities of NVIDIA's new sparse direct solver, cuDSS, to solve challenging power system optimization problems. [ Link]
Joushua Pulsipher received the best presentation prize at JuMP-dev 2024 for the talk "InfiniteExaModels.jl: Accelerating Infinite-Dimensional Optimization Problems on CPU & GPU", which is based on the collaborative work with Sungho Shin, François Pacaud and Mihai Anitescu. [ Link ]
MadNLP and ExaModels team has awarded the COIN-OR Cup! This award recognizes outstanding contributions to open-source operations research software development. [ Link ]
Sungho has received the W. David Smith, Jr. Graduate Publication Award for his paper "Exponential decay of sensitivity in graph-structured nonlinear programs" coauthored with M. Anitescu and V. M. Zavala, published in SIAM Journal on Optimization. [ Link ]
A new preprint titled "Accelerating optimal power flow with GPUs: SIMD abstraction of nonlinear programs and condensed-space interior-point methods" with F. Pacaud and M. Anitescu has been posted on arXiv [ Link ].
Our paper "Accelerating condensed interior-point methods on SIMD/GPU architectures" with F. Pacaud, M. Schanen, D. A. Maldonado, M. Anitescu has been published in Journal of Optimization Theory and Applications. [ Link ]
Our paper "Near-optimal distributed linear-quadratic regulator for networked systems" with Y. Lin, G. Qu, A. Wierman, and M. Anitescu has been published in SIAM Journal on Control and Optimization. [ Link ]
Sungho has accepted an offer from Massachusetts Institute of Technology to become an assistant professor in the chemical engineering department starting from 2024 Summer. [ Link ]