Layer-Parallel Training of Deep Residual Neural Networks

Spatial re-distribution on the temporal coarse-level for Multigrid Reduction in Time

Low Rank Parareal: a new combination of Parareal with dynamical low rank approximation

Parareal for higher index differential algebraic equations

Asynchronous Truncated Multigrid-reduction-in-time: AT-MGRIT

From Parallel-in-Time to Full Space-Time Parallelization

Parallel-in-Time Preconditioner for Optimal Control Problems

Space-time block preconditioning

An Efficient Parallel-in-Time Method for Explicit Time-Marching Schemes

Diagonal SDC Preconditioning via Differentiable Programming and Reinforcement Learning

Parallel space-time residual minimization for parabolic evolution equations

A Space-Time DPG Method for the Heat Equation

Parallel exponential Runge–Kutta methods

In Search of a Classical Convergence Proof for Waveform Relaxation

Quantum Algorithms for Solving Ordinary Differential Equations via Classical Integration Methods

Error bounds for PFASST and related Block Spectral-Deferred-Correction algorithms

Optimized, parallel time integrators for better accuracy with large time steps

Supervised parallel-in-time algorithm for stochastic dynamics

Parareal with Exponential Integrators

Multigrid Reduction in Time: Two-Level Convergence Theory with Spatial Coarsening

introduction to Scientific Computing

Layer-Parallel Training of Deep Residual Neural Networks

Optimal Relaxation Weights for Multigrid Reduction in Time

A comparison of Space-Time Multigrid and PFASST with applications to Cardiac Electrophysiology

Exploring space-time adaptivity and parallel-in-time convergence for hyperbolic PDEs