Reproduce “ADACT: PDE-Constrained Thermal Hardware/Software Co-Design Adjoint-Driven Optimal Control via Finite Difference Discretization” on OpenResearch
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About this paper
Don Li
ADACT jointly optimizes core power and cooling, modeling spatial heat diffusion with a heat equation and using an adjoint for control gradients. It uses one forward and one backward PDE solve per iteration. In a four-core simulation, it met two 90 W requests; peak temperature reached 78.8 °C, below the 85 °C reference, with cooling at its lower bound. This does not guarantee a hard temperature limit.
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