2019
ALGORITHMIC SOLUTIONS TO MANAGE POWER CONSUMPTION ON EXASCALE SYSTEMS
Our objective is to develop a quantitative strategy for power management at the exascale, given a desired solution accuracy. For this purpose, our approach integrates high-order methods development with mixed-precision computing, lossy data compression, and applications monitoring power consumption.
Convergence rate of Recovery DG vs. BR2 (the current gold standard) for linear diffusion on a Cartesian mesh. For the same p=2, Recovery achieves 8th order for Recovery, while BR2 is 3rd order.
U-M Researchers
Other Researchers
Henry Hoffman (University of Chicago)
Jeffrey Hittinger (Lawrence Livermore National Lab)