24 citations · 32 across the 8 of their papers we have counts for
14 papers
An integrated heterogeneous computing framework for ensemble simulations of laser-induced ignition
Kazuki Maeda, Thiago Teixeira, Jonathan M. Wang +6
An integrated computational framework is introduced to study complex engineering systems through physics-based ensemble simulations on heterogeneous supercomputers. The framework i…
Task-parallel in-situ temporal compression of large-scale computational fluid dynamics data
Heather Pacella, Alec Dunton, Alireza Doostan +1
Present day computational fluid dynamics simulations generate extremely large amounts of data, sometimes on the order of TB/s. Often, a significant fraction of this data is discard…
The discrete Green's function paradigm for two-way coupled Euler-Lagrange simulation
J. A. K. Horwitz, G. Iaccarino, J. K. Eaton +1
We outline a methodology for the simulation of particle-laden flows whereby the dispersed and fluid phases are two-way coupled. The drag force which couples fluid and particle mome…
Quantifying structural uncertainty in the BHR model for variable-density flows
Z. Huang, J. Hayes, G. Iaccarino
In this brief, we try to develop a comprehensive framework to identify, quantify, isolate, and reduce the uncertainties in the original BHR model \citep {Besnard1992} for variable-…
Estimated aleatoric uncertainty from initial and inlet conditions for variable density mixing
Jan Felix Heyse, Zhu Huang, Gianluca Iaccarino
Variable density flows occur in a variety of different systems with a wide range of scales, from astrophysics to atmospheric flows to inertial confinement fusion or reacting flows.…
Pass-efficient methods for compression of high-dimensional turbulent flow data
Alec M. Dunton, Lluís Jofre, Gianluca Iaccarino +1
The future of high-performance computing, specifically on future Exascale computers, will presumably see memory capacity and bandwidth fail to keep pace with data generated, for in…