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| Paper: |
Cutting the Cost of Pulsar Astronomy: Saving Time and Energy when Searching for Binary Pulsars Using NVIDIA GPUs |
| Volume: |
538, ADASS XXXII |
| Page: |
118 |
| Authors: |
Jack White; Karel Adámek; Wes Armour |
| DOI: |
10.26624/NRHD1164 |
| Abstract: |
Using the Fourier Domain Acceleration Search (FDAS) method to search
for binary pulsars is a computationally costly process. Next-generation radio telescopes
will have to perform FDAS in real-time, as data volumes are too large to store. FDAS
is a matched filtering approach for searching time-domain radio astronomy datasets for
the signatures of binary pulsars with approximately linear acceleration. In this paper we
will explore how we have reduced the energy cost of an SKA-like implementation of
FDAS in AstroAccelerate, utilising a combination of mixed-precision computing and
dynamic frequency scaling on NVIDIA GPUs. Combining the two approaches, we
have managed to save 58% of the overall energy cost of FDAS with a (<3%) sacrifice
in numerical sensitivity. |
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