29 citations · 36 across the 8 of their papers we have counts for
5 papers · 1 filter
A Reduced Order Model approach for First-Principles Molecular Dynamics Computations
Siu Wun Cheung, Youngsoo Choi, Jean-Luc Fattebert +2
To leverage the redundancy between the electronic structure computed at each step of first-principles molecular dynamics, we present a data-driven modeling framework for Kohn-Sham…
Theory and numerics of subspace approximation of eigenvalue problems
Siu Wun Cheung, Youngsoo Choi, Seung Whan Chung +3
Large-scale eigenvalue problems arise in various fields of science and engineering and demand computationally efficient solutions. In this study, we investigate the subspace approx…
A Two-level GPU-Accelerated Incomplete LU Preconditioner for General Sparse Linear Systems
Tianshi Xu, Ruipeng Li, Daniel Osei-Kuffuor
This paper presents a parallel preconditioning approach based on incomplete LU (ILU) factorizations in the framework of Domain Decomposition (DD) for general sparse linear systems.…
QDOT: Quantized Dot Product Kernel for Approximate High-Performance Computing
James Diffenderfer, Daniel Osei-Kuffuor, Harshitha Menon
Approximate computing techniques have been successful in reducing computation and power costs in several domains. However, error sensitive applications in high-performance computin…
Multigrid reduction preconditioning framework for coupled processes in porous and fractured media
Quan M. Bui, Francois P. Hamon, Nicola Castelletto +3
Many subsurface engineering applications involve tight-coupling between fluid flow, solid deformation, fracturing, and similar processes. To better understand the complex interplay…