Matched filters for coalescing binaries detection on massively parallel computers
Enrico Calzavarini, Laura Sartori, Fabio Schifano, Raffaele, Tripiccione, Andrea Vicere'
TL;DR
This paper evaluates the computational performance of parallel processing systems, specifically APEmille and apeNEXT, for matched filtering in gravitational wave detection, aiming to optimize data analysis for LIGO and VIRGO.
Contribution
It provides an analysis of the computational challenges and performance estimates of specialized parallel processors for gravitational wave signal filtering.
Findings
Estimated performance of APEmille for gravitational wave data analysis
Projected scalability of apeNEXT for large-scale filtering tasks
Assessment of parallel processing efficiency in gravitational wave detection
Abstract
We discuss some computational problems associated to matched filtering of experimental signals from gravitational wave interferometric detectors in a parallel-processing environment. We then specialize our discussion to the use of the APEmille and apeNEXT processors for this task. Finally, we accurately estimate the performance of an APEmille system on a computational load appropriate for the LIGO and VIRGO experiments, and extrapolate our results to apeNEXT.
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