Although supercomputers are becoming increasingly powerful, their components have thus far not scaled proportionately. Compute power is growing enormously and is enabling finely …
CoDDA (C opula-based D istribution D riven A nalysis) is a flexible framework for large- scale multivariate datasets. A common strategy to deal with large-scale scientific simulation …
S Dutta, T Turton, D Rogers, JM Musser… - Journal of …, 2022 - Elsevier
The study of multiphase flow is essential for designing chemical reactors such as fluidized bed reactors (FBR), as a detailed understanding of hydrodynamics is critical for optimizing …
The VTK-m software library enables scientific visualization on exascale-class supercomputers. Exascale machines are particularly challenging for software development …
The development of usable visualization solutions is essential for ensuring both their adoption and effectiveness. User-centered design principles, which involve users …
H Kolla, JH Chen - Modeling and Simulation of Turbulent Combustion, 2018 - Springer
Considering that simulations of turbulent combustion are computationally expensive, this chapter takes a decidedly different perspective, that of high-performance computing (HPC) …
With exascale supercomputers on the horizon, data-driven in situ data reduction is a very important topic that potentially enables post hoc data visualization, reconstruction, and …
S Dutta, H Tasnim, TL Turton… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Scientists nowadays use data sets generated from large-scale scientific computational simulations to understand the intricate details of various physical phenomena. These …
Despite the popularity of in-situ analytics in scientific computing, there is only limited work to date on in-situ analytics for simulations running on GPUs. Notably, two unaddressed …