Abstract
| Original language | English |
|---|---|
| Title of host publication | 16th ACM International Conference on Computing Frontiers |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 300-301 |
| ISBN (Electronic) | 978-1-4503-6685-4 |
| DOIs | |
| Publication status | Published - 2019 |
| Event | 16th ACM International Conference on Computing Frontiers 2019 - Alghero, Italy Duration: 30 Apr 2019 → 2 May 2019 Conference number: 16 http://www.computingfrontiers.org/2019/ |
Conference
| Conference | 16th ACM International Conference on Computing Frontiers 2019 |
|---|---|
| Abbreviated title | CF 2019 |
| Country | Italy |
| City | Alghero |
| Period | 30/04/19 → 2/05/19 |
| Internet address |
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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 proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Go Green Radio Astronomy: Approximate Computing Perspective: Opportunities and Challenges: POSTER
AU - Gillani, Syed Ghayoor Abbas
AU - Kokkeler, Andre B.J.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
U2 - 10.1145/3310273.3323427
DO - 10.1145/3310273.3323427
M3 - Conference contribution
SP - 300
EP - 301
BT - 16th ACM International Conference on Computing Frontiers
PB - Association for Computing Machinery (ACM)
ER -