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cs.DC2026
DRIFT: Direct Reduced Fourier Transforms for Distributed Spectral Neural Operators
Sana Taghipour Anvari, David Kaeli
Fourier Neural Operators (FNOs) learn solution operators for partial differential equations and offer orders of magnitude speedup over traditional numerical solvers at inference ti…
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…