English

Slide FFT on a homogeneous mesh in wafer-scale computing

Signal Processing 2024-01-12 v1 Instrumentation and Methods for Astrophysics Distributed, Parallel, and Cluster Computing Data Structures and Algorithms

Abstract

Searches for signals at low signal-to-noise ratios frequently involve the Fast Fourier Transform (FFT). For high-throughput searches, we here consider FFT on the homogeneous mesh of Processing Elements (PEs) of a wafer-scale engine (WSE). To minimize memory overhead in the inherently non-local FFT algorithm, we introduce a new synchronous slide operation ({\em Slide}) exploiting the fast interconnect between adjacent PEs. Feasibility of compute-limited performance is demonstrated in linear scaling of Slide execution times with varying array size in preliminary benchmarks on the CS-2 WSE. The proposed implementation appears opportune to accelerate and open the full discovery potential of FFT-based signal processing in multi-messenger astronomy.

Keywords

Cite

@article{arxiv.2401.05427,
  title  = {Slide FFT on a homogeneous mesh in wafer-scale computing},
  author = {Maurice H. P. M. van Putten and Leighton Wilson and Adam W. Lavely and Mark Hair},
  journal= {arXiv preprint arXiv:2401.05427},
  year   = {2024}
}

Comments

7 pages, 6 figures

R2 v1 2026-06-28T14:13:35.517Z