Applying Fast Fourier Transforms to Accelerate Spatially and Temporally Inhomogeneous Stencil Computations

Stencil computations are essential for simulating the evolution of physical systems across multi-dimensional grids over multiple timesteps. State-of-the-art techniques in this field fall into three major groups: tiled looping algorithms, divide-and-conquer trapezoidal algorithms, and Krylov subspace methods.

Authors

Institutions

Publication Details

Published
2025-07-16
DOI
https://doi.org/10.1145/3694906.3743354
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Applying Fast Fourier Transforms to Accelerate Spatially and Temporally Inhomogeneous Stencil Computations

Richard Bentley, Rezaul Chowdhury, M. Santomauro, Aaron Gregory
Seismic Imaging and Inversion Techniques
article

Applying Fast Fourier Transforms to Accelerate Spatially and Temporally Inhomogeneous Stencil Computations

Richard Bentley, Rezaul Chowdhury, M. Santomauro, Aaron Gregory
article en

Abstract

Stencil computations are essential for simulating the evolution of physical systems across multi-dimensional grids over multiple timesteps. State-of-the-art techniques in this field fall into three major groups: tiled looping algorithms, divide-and-conquer trapezoidal algorithms, and Krylov subspace methods.

Stony Brook University (US)
National Science Foundation, Office of Advanced Cyberinfrastructure
Openalex Percentile: Top 81%
Seismic Imaging and Inversion Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.