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Omar Ghattas

9 papers hereh-index 339 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author9

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.DC5
  • math.NA3
  • physics.geo-ph1
same name
  • Omar Ghattas — 9 papers, h 5
  • Omar Ghattas — 2 papers, h 3
  • Omar Ghattas — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedReal-time Bayesian inference at extreme scale: A digital twin for tsunami early warning applied to the Cascadia subduction zone

6 citations · 11 across the 9 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

cs.DC2025★ 1 cited

Mixed-Precision Performance Portability of FFT-Based GPU-Accelerated Algorithms for Block-Triangular Toeplitz Matrices

Sreeram Venkat, Kasia Swirydowicz, Noah Wolfe +1

The hardware diversity in leadership-class computing facilities, alongside the immense performance boosts from today's GPUs when computing in lower precision, incentivizes scientif…

cs.DC2025★ 6 cited

Real-time Bayesian inference at extreme scale: A digital twin for tsunami early warning applied to the Cascadia subduction zone

Stefan Henneking, Sreeram Venkat, Veselin Dobrev +5

We present a Bayesian inversion-based digital twin that employs acoustic pressure data from seafloor sensors, along with 3D coupled acoustic-gravity wave equations, to infer earthq…

math.NA2025★ 3 cited

Goal-Oriented Real-Time Bayesian Inference for Linear Autonomous Dynamical Systems With Application to Digital Twins for Tsunami Early Warning

Stefan Henneking, Sreeram Venkat, Omar Ghattas

We present a goal-oriented framework for constructing digital twins with the following properties: (1) they employ discretizations of high-fidelity PDE models governed by autonomou…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.