NIA funding success for HiGHS and NESO

HiGHS is pleased to announce that the National Energy System Operator (NESO) and the University of Edinburgh have signed a contract for a Network Innovation Allowance (NIA) funded project.

The project will develop a new GPU-accelerated first order solver for extreme scale sparse linear programming (LP) problems. 

The solver will be written by Yanyu Zhou, Julian Hall and Ivet Galabova, with a planned release (as part of HiGHS) in early 2026.

Julian says, "This exciting project will allow HiGHS to fully engage with GPU-accelerated first order methods for LP by incorporating its own developments and the best external work in this field".

Learn more:

GPU Accelerated Grid Optimisation | Energy Networks Association

Follow the HiGHS team for updates:

HiGHS | LinkedIn

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Tags

Optimization and OR
Staff success