Decrease time-to-solution through improved linear-system setup and solve.

Hu, Jonathan J.; Thomas, Stephen; Dohrmann, Clark R.; Ananthan, Shreyas; Domino, Stefan P.; Williams, Alan B.; Sprague, Michael

doi:10.2172/1431236

DOE OSTI · 1431236

Decrease time-to-solution through improved linear-system setup and solve.

Hu, Jonathan J.·Thomas, Stephen·Dohrmann, Clark R.·Ananthan, Shreyas·Domino, Stefan P.·Williams, Alan B.·Sprague, Michael

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Abstract

The goal of the ExaWind project is to enable predictive simulations of wind farms composed of many MW-scale turbines situated in complex terrain. Predictive simulations will require computational fluid dynamics (CFD) simulations for which the mesh resolves the geometry of the turbines, and captures the rotation and large deflections of blades. Whereas such simulations for a single turbine are arguably petascale class, multi-turbine wind farm simulations will require exascale-class resources.

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Hu, Jonathan J., Thomas, Stephen, Dohrmann, Clark R., Ananthan, Shreyas, Domino, Stefan P., Williams, Alan B., Sprague, Michael. 2018-03-01. Decrease time-to-solution through improved linear-system setup and solve.. https://doi.org/10.2172/1431236

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