Go Green Radio Astronomy: Approximate Computing Perspective: Opportunities and Challenges: POSTER

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Abstract

Modern radio telescopes require highly energy/power-efficient computing systems. Signal processing pipelines of such radio telescopes are dominated by accumulation based iterative processes. As the input signal received at a radio telescope is regarded as Gaussian noise, employing approximate computing looks promising. Therefore, we present opportunities and challenges offered by the approximate computing paradigm to achieve the required efficiency targets.
Original languageEnglish
Title of host publication16th ACM International Conference on Computing Frontiers
PublisherAssociation for Computing Machinery (ACM)
Pages300-301
ISBN (Electronic)978-1-4503-6685-4
DOIs
Publication statusPublished - 2019
Event16th ACM International Conference on Computing Frontiers 2019 - Alghero, Italy
Duration: 30 Apr 20192 May 2019
Conference number: 16
http://www.computingfrontiers.org/2019/

Conference

Conference16th ACM International Conference on Computing Frontiers 2019
Abbreviated titleCF 2019
CountryItaly
CityAlghero
Period30/04/192/05/19
Internet address

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Radio astronomy
Radio telescopes
Signal processing
Pipelines

Cite this

Gillani, S. G. A., & Kokkeler, A. B. J. (2019). Go Green Radio Astronomy: Approximate Computing Perspective: Opportunities and Challenges: POSTER. In 16th ACM International Conference on Computing Frontiers (pp. 300-301). Association for Computing Machinery (ACM). https://doi.org/10.1145/3310273.3323427
Gillani, Syed Ghayoor Abbas ; Kokkeler, Andre B.J. / Go Green Radio Astronomy: Approximate Computing Perspective: Opportunities and Challenges: POSTER. 16th ACM International Conference on Computing Frontiers. Association for Computing Machinery (ACM), 2019. pp. 300-301
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Gillani, SGA & Kokkeler, ABJ 2019, Go Green Radio Astronomy: Approximate Computing Perspective: Opportunities and Challenges: POSTER. in 16th ACM International Conference on Computing Frontiers. Association for Computing Machinery (ACM), pp. 300-301, 16th ACM International Conference on Computing Frontiers 2019, Alghero, Italy, 30/04/19. https://doi.org/10.1145/3310273.3323427

Go Green Radio Astronomy: Approximate Computing Perspective: Opportunities and Challenges: POSTER. / Gillani, Syed Ghayoor Abbas; Kokkeler, Andre B.J.

16th ACM International Conference on Computing Frontiers. Association for Computing Machinery (ACM), 2019. p. 300-301.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Gillani SGA, Kokkeler ABJ. Go Green Radio Astronomy: Approximate Computing Perspective: Opportunities and Challenges: POSTER. In 16th ACM International Conference on Computing Frontiers. Association for Computing Machinery (ACM). 2019. p. 300-301 https://doi.org/10.1145/3310273.3323427