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I/O performance is vital for most HPC applications especially those that generate a vast amount of data with the growth of scale. Many studies have shown that scientific applications tend to issue small and noncontiguous accesses in an interleaving fashion, causing different processes to access overlapping regions. In such scenario, collective I/O is a widely used optimization technique. However,...
To effectively model various regions with different resolutions, adaptive mesh refinement (AMR) is commonly used in cosmology simulations. There are two well-known numerical approaches towards the implementation of AMR based cosmology simulations: block-based AMR and cell-based AMR. While many studies have been conducted to improve performance and scalability of block-structured AMR applications,...
Cosmological simulations are highly complicated, and it is time-consuming to redesign and reimplement the code for improvement. Moreover, it is a risk to implement any idea directly in the code without knowing its effects on performance. In this paper, we design an emulator for cell-based AMR (adaptive mesh refinement) cosmology simulations, in particular, the Adaptive Refinement Tree (ART) application...
Eulerian hydrodynamical simulations are a powerful and popular tool for modelling fluids in astrophysical systems. In this work, we critically examine recent claims that these methods violate Galilean invariance of the Euler equations. We demonstrate that Eulerian hydrodynamics methods do converge to a Galilean‐invariant solution, provided a well‐defined convergent solution exists. Specifically, we...
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