Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Armeniakos, Giorgos"'
Recent advancements in quantization and mixed-precision approaches offers substantial opportunities to improve the speed and energy efficiency of Neural Networks (NN). Research has shown that individual parameters with varying low precision, can atta
Externí odkaz:
http://arxiv.org/abs/2407.14274
Autor:
Armeniakos, Giorgos, Duarte, Paula L., Pal, Priyanjana, Zervakis, Georgios, Tahoori, Mehdi B., Soudris, Dimitrios
Printed electronics (PE) technology provides cost-effective hardware with unmet customization, due to their low non-recurring engineering and fabrication costs. PE exhibit features such as flexibility, stretchability, porosity, and conformality, whic
Externí odkaz:
http://arxiv.org/abs/2312.01172
Autor:
Leon, Vasileios, Hanif, Muhammad Abdullah, Armeniakos, Giorgos, Jiao, Xun, Shafique, Muhammad, Pekmestzi, Kiamal, Soudris, Dimitrios
The challenging deployment of compute-intensive applications from domains such Artificial Intelligence (AI) and Digital Signal Processing (DSP), forces the community of computing systems to explore new design approaches. Approximate Computing appears
Externí odkaz:
http://arxiv.org/abs/2307.11128
Autor:
Leon, Vasileios, Hanif, Muhammad Abdullah, Armeniakos, Giorgos, Jiao, Xun, Shafique, Muhammad, Pekmestzi, Kiamal, Soudris, Dimitrios
The rapid growth of demanding applications in domains applying multimedia processing and machine learning has marked a new era for edge and cloud computing. These applications involve massive data and compute-intensive tasks, and thus, typical comput
Externí odkaz:
http://arxiv.org/abs/2307.11124
Printed electronics (PE) promises on-demand fabrication, low non-recurring engineering costs, and sub-cent fabrication costs. It also allows for high customization that would be infeasible in silicon, and bespoke architectures prevail to improve the
Externí odkaz:
http://arxiv.org/abs/2303.08255
Printed Electronics (PE) exhibits on-demand, extremely low-cost hardware due to its additive manufacturing process, enabling machine learning (ML) applications for domains that feature ultra-low cost, conformity, and non-toxicity requirements that si
Externí odkaz:
http://arxiv.org/abs/2302.14576
Publikováno v:
ACM Computing Surveys 2022
Deep Neural Networks (DNNs) are very popular because of their high performance in various cognitive tasks in Machine Learning (ML). Recent advancements in DNNs have brought beyond human accuracy in many tasks, but at the cost of high computational co
Externí odkaz:
http://arxiv.org/abs/2203.08737
Printed electronics (PE) feature low non-recurring engineering costs and low per unit-area fabrication costs, enabling thus extremely low-cost and on-demand hardware. Such low-cost fabrication allows for high customization that would be infeasible in
Externí odkaz:
http://arxiv.org/abs/2203.05915
Autor:
ARMENIAKOS, GIORGOS1 armeniakos@microlab.ntua.gr, ZERVAKIS, GEORGIOS2 georgios.zervakis@kit.edu, SOUDRIS, DIMITRIOS1 dsoudris@microlab.ntua.gr, HENKEL, JÖRG2 henkel@kit.edu
Publikováno v:
ACM Computing Surveys. May2023, Vol. 55 Issue 4, p1-36. 36p.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.