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20182023
most citedReduced Basis Approximations of Parameterized Dynamical Partial Differential Equations via Neural Networks

2 citations · 2 across the 4 of their papers we have counts for

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Showing 2020Show all

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cs.DC2020

Modeling Data Movement Performance on Heterogeneous Architectures

Amanda Bienz, Luke N. Olson, William D. Gropp +1

The cost of data movement on parallel systems varies greatly with machine architecture, job partition, and nearby jobs. Performance models that accurately capture the cost of data…

math.NA2020

A Least-Squares Finite Element Reduced Basis Method

Jehanzeb Hameed Chaudhry, Luke N. Olson, Peter Sentz

We present a reduced basis (RB) method for parametrized linear elliptic partial differential equations (PDEs) in a least-squares finite element framework. A rigorous and reliable e…