35 citations · 69 across the 12 of their papers we have counts for
Showing 2017Show all
2 papers · 1 filter
math.NA2017★ 6 cited
Parallelizing Over Artificial Neural Network Training Runs with Multigrid
Jacob B. Schroder
Artificial neural networks are a popular and effective machine learning technique. Great progress has been made parallelizing the expensive training phase of an individual network,…
math.OC2017
A Non-Intrusive Parallel-in-Time Adjoint Solver with the XBraid Library
Stefanie Günther, Nicolas R. Gauger, Jacob B. Schroder
In this paper, an adjoint solver for the multigrid in time software library XBraid is presented. XBraid provides a non-intrusive approach for simulating unsteady dynamics on multip…