From 1a1e6dceffe77a28959ae6b638b0da56d01d5abf Mon Sep 17 00:00:00 2001 From: pancetta Date: Thu, 25 Apr 2024 05:56:07 +0000 Subject: [PATCH] updated pint.bib using bibbot --- _bibliography/pint.bib | 31 ++++++++++++++++++++----------- 1 file changed, 20 insertions(+), 11 deletions(-) diff --git a/_bibliography/pint.bib b/_bibliography/pint.bib index 49b0401e..62867372 100644 --- a/_bibliography/pint.bib +++ b/_bibliography/pint.bib @@ -6904,17 +6904,17 @@ @unpublished{BossuytEtAl2024 } @article{CaoEtAl2024, - author={Cao, Ruixia and Hou, Shangjun and Ma, Lin}, - journal={IEEE Access}, - title={A Pipeline-Based ODE Solving Framework}, - year={2024}, - volume={12}, - number={}, - pages={37995-38004}, - doi={10.1109/ACCESS.2024.3375305}, - abstract={The traditional parallel solving methods of ordinary differential equations (ODE) are mainly classified into task-parallelism, data-parallelism, and instruction-level parallelism. Based on the RIDC (revisionist integral deferred correction) algorithm, a hybrid solver dispatched on both CPU and GPU is proposed, which realizes computing in a pipeline form and a remarkable parallelism is obtained both inside a single equation and among many different equations. The proposed framework can make full use of the multi-core advantage of GPU, which is conducive to load balancing within computing nodes. The efficiency and accuracy of the framework are verified in several experiments.}, -} - + abstract = {The traditional parallel solving methods of ordinary differential equations (ODE) are mainly classified into task-parallelism, data-parallelism, and instruction-level parallelism. Based on the RIDC (revisionist integral deferred correction) algorithm, a hybrid solver dispatched on both CPU and GPU is proposed, which realizes computing in a pipeline form and a remarkable parallelism is obtained both inside a single equation and among many different equations. The proposed framework can make full use of the multi-core advantage of GPU, which is conducive to load balancing within computing nodes. The efficiency and accuracy of the framework are verified in several experiments.}, + author = {Cao, Ruixia and Hou, Shangjun and Ma, Lin}, + doi = {10.1109/ACCESS.2024.3375305}, + journal = {IEEE Access}, + number = {}, + pages = {37995-38004}, + title = {A Pipeline-Based ODE Solving Framework}, + volume = {12}, + year = {2024}, +} + @unpublished{FreeseEtAl2024, abstract = {We investigate parallel performance of parallel spectral deferred corrections, a numerical approach that provides small-scale parallelism for the numerical solution of initial value problems. The scheme is applied to the shallow water equation and uses an IMEX splitting that integrates fast modes implicitly and slow modes explicitly in order to be efficient. We describe parallel $\texttt{OpenMP}$-based implementations of parallel SDC in two well established simulation codes: the finite volume based operational ocean model $\texttt{ICON-O}$ and the spherical harmonics based research code $\texttt{SWEET}$. The implementations are benchmarked on a single node of the JUSUF ($\texttt{SWEET}$) and JUWELS ($\texttt{ICON-O}$) system at J\"ulich Supercomputing Centre. We demonstrate a reduction of time-to-solution across a range of accuracies. For $\texttt{ICON-O}$, we show speedup over the currently used Adams--Bashforth-2 integrator with $\texttt{OpenMP}$ loop parallelization. For $\texttt{SWEET}$, we show speedup over serial spectral deferred corrections and a second order implicit-explicit integrator.}, author = {Philip Freese and Sebastian Götschel and Thibaut Lunet and Daniel Ruprecht and Martin Schreiber}, @@ -7016,6 +7016,15 @@ @article{Park2024 year = {2024}, } +@unpublished{SchnaubeltEtAl2024, + abstract = {High-temperature superconductors (HTS) have the potential to enable magnetic fields beyond the current limits of low-temperature superconductors in applications like accelerator magnets. However, the design of HTS-based magnets requires computationally demanding transient multi-physics simulations with highly non-linear material properties. To reduce the solution time, we propose using Parareal (PR) for parallel-in-time magneto-thermal simulation of magnets based on HTS, particularly, no-insulation coils without turn-to-turn insulation. We propose extending the classical PR method to automatically find a time partitioning using a first coarse adaptive propagator. The proposed PR method is shown to reduce the computing time when fine engineering tolerances are required despite the highly nonlinear character of the problem. The full software stack used is open-source.}, + author = {Erik Schnaubelt and Mariusz Wozniak and Julien Dular and Idoia Cortes Garcia and Arjan Verweij and Sebastian Schöps}, + howpublished = {arXiv:2404.13333v1 [cs.CE]}, + title = {Parallel-in-Time Integration of Transient Phenomena in No-Insulation Superconducting Coils Using Parareal}, + url = {http://arxiv.org/abs/2404.13333v1}, + year = {2024}, +} + @unpublished{SterckEtAl2024, abstract = {We consider the parallel-in-time solution of scalar nonlinear conservation laws in one spatial dimension. The equations are discretized in space with a conservative finite-volume method using weighted essentially non-oscillatory (WENO) reconstructions, and in time with high-order explicit Runge-Kutta methods. The solution of the global, discretized space-time problem is sought via a nonlinear iteration that uses a novel linearization strategy in cases of non-differentiable equations. Under certain choices of discretization and algorithmic parameters, the nonlinear iteration coincides with Newton's method, although, more generally, it is a preconditioned residual correction scheme. At each nonlinear iteration, the linearized problem takes the form of a certain discretization of a linear conservation law over the space-time domain in question. An approximate parallel-in-time solution of the linearized problem is computed with a single multigrid reduction-in-time (MGRIT) iteration. The MGRIT iteration employs a novel coarse-grid operator that is a modified conservative semi-Lagrangian discretization and generalizes those we have developed previously for non-conservative scalar linear hyperbolic problems. Numerical tests are performed for the inviscid Burgers and Buckley--Leverett equations. For many test problems, the solver converges in just a handful of iterations with convergence rate independent of mesh resolution, including problems with (interacting) shocks and rarefactions.}, author = {H. De Sterck and R. D. Falgout and O. A. Krzysik and J. B. Schroder},