Go green radio astronomy: Approximate Computing Perspective: Opportunities and Challenges: POSTER

G. Gillani, A. 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.
走向绿色射电天文学:近似计算视角:机遇与挑战:海报
现代射电望远镜需要高能效的计算系统。这种射电望远镜的信号处理管道主要是基于积累的迭代过程。由于射电望远镜接收到的输入信号被认为是高斯噪声,采用近似计算看起来很有希望。因此,我们提出了近似计算范式提供的机会和挑战,以实现所需的效率目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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