17 citations · 44 across the 11 of their papers we have counts for
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cs.DC2018★ 17 cited
FFT, FMM, and Multigrid on the Road to Exascale: performance challenges and opportunities
Huda Ibeid, Luke Olson, William Gropp
FFT, FMM, and multigrid methods are widely used fast and highly scalable solvers for elliptic PDEs. However, emerging large-scale computing systems are introducing challenges in co…
cs.PF2018
Learning with Analytical Models
Huda Ibeid, Siping Meng, Oliver Dobon +2
To understand and predict the performance of scientific applications, several analytical and machine learning approaches have been proposed, each having its advantages and disadvan…