Alsvinn: A Fast multi-GPGPU finite volume solver with a strong emphasis on reproducibility
Kjetil Lye
TL;DR
Alsvinn is a high-performance multi-GPU finite volume solver designed for hyperbolic conservation laws, emphasizing reproducibility, scalability, and uncertainty quantification in multi-dimensional simulations.
Contribution
The paper introduces Alsvinn, a novel multi-GPU finite volume solver that supports uncertainty quantification and demonstrates excellent scalability.
Findings
Achieves fast computation on multi-GPU systems
Supports native uncertainty quantification
Exhibits excellent scaling on compute clusters
Abstract
We present the Alsvinn simulator, a fast multi general purpose graphical processing unit (GPGPU) finite volume solver for hyperbolic conservation laws in multiple space dimensions. Alsvinn has native support for uncertainty quantifications, and exhibits excellent scaling on top tier compute clusters.
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Taxonomy
TopicsComputational Fluid Dynamics and Aerodynamics · Meteorological Phenomena and Simulations · Advanced Numerical Methods in Computational Mathematics