P
Paul Fischer
Researcher at University of Illinois at Urbana–Champaign
Publications - 284
Citations - 9800
Paul Fischer is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Reynolds number & Large eddy simulation. The author has an hindex of 48, co-authored 279 publications receiving 8747 citations. Previous affiliations of Paul Fischer include California Institute of Technology & Massachusetts Institute of Technology.
Papers
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Book ChapterDOI
High-Order Methods for Incompressible Fluid Flow: Vector and Parallel Implementations
Journal ArticleDOI
Efficient Exascale Discretizations: High-Order Finite Element Methods
Tzanio V. Kolev,Paul Fischer,Paul Fischer,Misun Min,Jack Dongarra,Jed Brown,Veselin Dobrev,Tim Warburton,Stanimire Tomov,Mark S. Shephard,Ahmad Abdelfattah,Valeria Barra,Natalie Beams,Jean-Sylvain Camier,Noel Chalmers,Yohann Dudouit,Ali Karakus,Ian Karlin,Stefan Kerkemeier,Yu-Hsiang Lan,David Medina,Elia Merzari,Elia Merzari,Aleksandr Obabko,Will Pazner,Thilina Rathnayake,Cameron W. Smith,Lukas Spies,Kasia Swirydowicz,Jeremy Thompson,Ananias G. Tomboulides,Ananias G. Tomboulides,Vladimir Tomov +32 more
TL;DR: The Center for Efficient Exascale Discretizations (CEED) as mentioned in this paper is a co-design center in the exascale Computing Project that is focused on the development of next-generation discretization software and algorithms.
Book ChapterDOI
Roughness induced transient growth: nonlinear effects
Meelan M. Choudhari,Paul Fischer +1 more
TL;DR: In this paper, the authors used numerical simulations to model the disturbance field associated with a spanwise periodic array of circular disks in a laminar boundary layer and provided a numerical database for validating detailed features of optimal growth theory in the context of roughness induced stationary disturbances.
Proceedings ArticleDOI
A POD-based solver for the advection-diffusion equation
TL;DR: In this paper, proper orthogonal decomposition (POD) is used to identify the most energetic modes of turbulence when applied to a sufficient set of snapshots generated through Nek5000.