Autotuning in high-performance computing applications
Autotuning refers to the automatic generation of a search space of possible implementations
of a computation that are evaluated through models and/or empirical measurement to …
of a computation that are evaluated through models and/or empirical measurement to …
[HTML][HTML] Automated linear solver selection for simulation of multiphysics processes in porous media
Y Zabegaev, E Keilegavlen, E Iversen, I Berre - Computer Methods in …, 2024 - Elsevier
Porous media processes involve various physical phenomena such as mechanical
deformation, transport, and fluid flow. Accurate simulations must capture the strong …
deformation, transport, and fluid flow. Accurate simulations must capture the strong …
Automated tuning for the parameters of linear solvers
A Petrushov, B Krasnopolsky - Journal of Computational Physics, 2023 - Elsevier
Robust iterative methods for solving large sparse systems of linear algebraic equations often
suffer from the problem of optimizing the corresponding tuning parameters. To improve the …
suffer from the problem of optimizing the corresponding tuning parameters. To improve the …
Tunable approximations to control time-to-solution in an HPC molecular docking Mini-App
The drug discovery process involves several tasks to be performed in vivo, in vitro and in
silico. Molecular docking is a task typically performed in silico. It aims at finding the three …
silico. Molecular docking is a task typically performed in silico. It aims at finding the three …
Graph Neural Networks for Selection of Preconditioners and Krylov Solvers
Solving large sparse linear systems is ubiquitous in science and engineering, generally
requiring iterative solvers and preconditioners, as many problems cannot be solved …
requiring iterative solvers and preconditioners, as many problems cannot be solved …
Solution of large linear systems with a massive number of right-hand sides and machine learning
YF Xiang - 2022 - theses.hal.science
This work focus on the iterative solution of large linear systems with multiple right-hand
sidesthat appear in various scientific applications. When multiple right-hand sides have to …
sidesthat appear in various scientific applications. When multiple right-hand sides have to …
Automated solver selection for simulation of multiphysics processes in porous media
Y Zabegaev, E Keilegavlen, E Iversen… - arXiv preprint arXiv …, 2024 - arxiv.org
Porous media processes involve various physical phenomena such as mechanical
deformation, transport, and fluid flow. Accurate simulations must capture the strong …
deformation, transport, and fluid flow. Accurate simulations must capture the strong …
A Survey on Intelligent Iterative Methods for Solving Sparse Linear Algebraic Equations
Efficiently solving sparse linear algebraic equations is an important research topic of
numerical simulation. Commonly used approaches include direct methods and iterative …
numerical simulation. Commonly used approaches include direct methods and iterative …
Comparative performance modeling of parallel preconditioned krylov methods
Many scientific and engineering computations rely on the scalable solution of large sparse
linear systems. Preconditioned Krylov methods are widely used and offer many algorithmic …
linear systems. Preconditioned Krylov methods are widely used and offer many algorithmic …
Iterative solver selection techniques for sparse linear systems
K Sood - 2019 - search.proquest.com
Scientific and engineering applications are dominated by linear algebra and depend on
scalable solutions of sparse linear systems. For large problems, preconditioned iterative …
scalable solutions of sparse linear systems. For large problems, preconditioned iterative …