5 papers
Twelve Ways To Fool The Masses When Giving Parallel-In-Time Results
Sebastian Goetschel, Michael Minion, Daniel Ruprecht +1
Getting good speedup -- let alone high parallel efficiency -- for parallel-in-time (PinT) integration examples can be frustratingly difficult. The high complexity and large number…
Performance of the BGSDC integrator for computing fast ion trajectories in nuclear fusion reactors
Krasymyr Tretiak, James Buchanan, Rob Akers +1
Modelling neutral beam injection (NBI) in fusion reactors requires computing the trajectories of large ensembles of particles. Slowing down times of up to one second combined with…
Performance of parallel-in-time integration for Rayleigh Bénard Convection
Andrew Clarke, Chris Davies, Daniel Ruprecht +2
Rayleigh-Bénard convection (RBC) is a fundamental problem of fluid dynamics, with many applications to geophysical, astrophysical, and industrial flows. Understanding RBC at parame…
Parareal with a Learned Coarse Model for Robotic Manipulation
Wisdom Agboh, Oliver Grainger, Daniel Ruprecht +1
A key component of many robotics model-based planning and control algorithms is physics predictions, that is, forecasting a sequence of states given an initial state and a sequence…
An arbitrary order time-stepping algorithm for tracking particles in inhomogeneous magnetic fields
Krasymyr Tretiak, Daniel Ruprecht
The Lorentz equations describe the motion of electrically charged particles in electric and magnetic fields and are used widely in plasma physics. The most popular numerical algori…