The challenging deployment of compute-intensive applications from domains such Artificial Intelligence (AI) and Digital Signal Processing (DSP), forces the community of computing …
M Khadra - arXiv preprint arXiv:1711.06115, 2017 - arxiv.org
Approximate computing is a research area where we investigate a wide spectrum of techniques to trade off computation accuracy for better performance or energy consumption …
M Wyse, A Baixo, T Moreau, B Zorn… - … Across the Stack …, 2015 - sampa.cs.washington.edu
The efficiency–accuracy trade-off of approximate-computing spans a diverse array of techniques at both the hardware and software levels. While this diversity is key to the …
As the end of Dennard scaling looms, both the semiconductor industry and the research community are exploring for innovative solutions that allow energy efficiency and …
Approximate computing has recently emerged as a paradigm for enabling energy efficient software and hardware implementations by exploiting the inherent resiliency in applications …
APPROXIMATE COMPUTING is a novel design paradigm to address the performance and energy efficiency needed for future computing systems. It is based on the observation that …
W Liu, F Lombardi, M Schulte - Proceedings of the IEEE, 2020 - ieeexplore.ieee.org
Approximate Computing: From Circuits to Applications Page 1 Approximate Computing: From Circuits to Applications By WEIQIANG LIU, Senior Member IEEE FABRIZIO LOMBARDI, Life …
Computing systems at all scales (from mobile handheld devices to supercomputers, servers, and large cloud-based data centers) have seen significant performance gains, mostly …
Approximate computing is the idea that systems can gain performance and energy efficiency if they expend less effort on producing a “perfect” answer. Approximate computing …