NOVOTNÝ, Jan, Karel ADÁMEK, M. A. CLARK, Mike GILES and Wes ARMOUR. Accelerating Dedispersion Using Many-core Architectures. Astrophysical Journal Supplement Series. GB - Spojené království Velké Británie a, 2023, vol. 269, No 1, p. "29-1"-"29-12", 12 pp. ISSN 0067-0049. Available from: https://dx.doi.org/10.3847/1538-4365/acfef6.
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Basic information
Original name Accelerating Dedispersion Using Many-core Architectures
Authors NOVOTNÝ, Jan (203 Czech Republic, belonging to the institution), Karel ADÁMEK (203 Czech Republic), M. A. CLARK, Mike GILES and Wes ARMOUR.
Edition Astrophysical Journal Supplement Series, GB - Spojené království Velké Británie a, 2023, 0067-0049.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10308 Astronomy
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/47813059:19630/23:A0000309
Organization unit Institute of physics in Opava
Doi http://dx.doi.org/10.3847/1538-4365/acfef6
UT WoS 001096020500001
Keywords in English fast radio-burst;southern sky survey;real-time;transient searches;pulsar;algorithms;amber
Tags IGS-11-2022, RIV24, UF
Tags International impact, Reviewed
Changed by Changed by: Mgr. Pavlína Jalůvková, učo 25213. Changed: 30/1/2024 13:45.
Abstract
Astrophysical radio signals are excellent probes of extreme physical processes that emit them. However, to reach Earth, electromagnetic radiation passes through the ionized interstellar medium, introducing a frequency-dependent time delay (dispersion) to the emitted signal. Removing dispersion enables searches for transient signals like fast radio bursts or repeating signals from isolated pulsars or those in orbit around other compact objects. The sheer volume and high resolution of data that next-generation radio telescopes will produce require high-performance computing solutions and algorithms to be used in time-domain data-processing pipelines to extract scientifically valuable results in real time. This paper presents a state-of-the-art implementation of brute force incoherent dedispersion on NVIDIA graphics-processing units and on Intel and AMD central-processing units. We show that our implementation is 4x faster (8-bit 8192 channels input) than other available solutions, and we demonstrate, using 11 existing telescopes, that our implementation is at least 20x faster than real time. This work is part of the AstroAccelerate package.
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