distributed training 1fourier neural operators 1gpu acceleration 1partial differential equations 1spectral methods 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.DC2026
DRIFT: Direct Reduced Fourier Transforms for Distributed Spectral Neural Operators
Sana Taghipour Anvari, David Kaeli
The paper introduces DRIFT, a GPU implementation that computes only the needed frequency modes for Fourier Neural Operators using a Distributed Truncated Spectral Transform, dramat…
cs.DC2026
DaggerFFT: A Distributed FFT Framework Using Task Scheduling in Julia
Sana Taghipour Anvari, Julian Samaroo, Matin Raayai Ardakani +1
The Fast Fourier Transform (FFT) is a fundamental numerical technique with widespread application in a range of scientific problems. As scientific simulations attempt to exploit ex…
cs.DC2025
Accelerating mesh-based Monte Carlo simulations using contemporary graphics ray-tracing hardware
Shijie Yan, Douglas Dwyer, David R. Kaeli +1
Significance: Monte Carlo (MC) methods are the gold-standard for modeling light-tissue interactions due to their accuracy. Mesh-based MC (MMC) offers enhanced precision for complex…