Go Green Radio Astronomy Approximate Computing Perspective: Opportunities and Challenges

被引：0
|
作者：
Gillani, G. A. [1 ]
Kokkeler, A. B. J. [1 ]
机构：
[1] Univ Twente, Fac EEMCS, NL-7500 AE Enschede, Netherlands
来源：
CF '19 - PROCEEDINGS OF THE 16TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS | 2019年
关键词：
approximate computing; iterative workloads; power efficiency; energy efficiency; radio astronomy;
D O I：
10.1145/3310273.3323427
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：300 / 301
页数：2
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