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

Syed Ghayoor Abbas Gillani, Andre B.J. Kokkeler

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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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  • 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