Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Georgios Zervakis"'
Autor:
Georgios Zervakis, Iraklis Anagnostopoulos, Sami Salamin, Yogesh S. Chauhan, Jorg Henkel, Hussam Amrouch
Publikováno v:
IEEE Access, Vol 9, Pp 43748-43758 (2021)
This is the first work to investigate the impact that Negative Capacitance Field-Effect Transistor (NCFET) brings on the efficiency and accuracy of future Neural Networks (NN). NCFET is at the forefront of emerging technologies, especially after it h
Externí odkaz:
https://doaj.org/article/97a52dd281c64e0687d7170ef04f4b5d
Publikováno v:
MycoKeys, Vol 75, Iss , Pp 71-143 (2020)
Ganoderma P. Karst. is a cosmopolitan genus of white-rot fungi which comprises species with highly-prized pharmaceutical properties, valuable biotechnological applications and of significant phytopathological interest. However, the status of the taxo
Externí odkaz:
https://doaj.org/article/0f430b6ef882407995a7de09fcd26e8c
Publikováno v:
IEEE Access, Vol 8, Pp 53522-53538 (2020)
Leveraging the inherent error tolerance of a vast number of application domains that are rapidly growing, approximate computing arises as a design alternative to improve the efficiency of our computing systems by trading accuracy for energy savings.
Externí odkaz:
https://doaj.org/article/aa0809b59d83434eb041244d113210a9
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42:2074-2078
Current state-of-the-art employs approximate multipliers to address the highly increased power demands of DNN accelerators. However, evaluating the accuracy of approximate DNNs is cumbersome due to the lack of adequate support for approximate arithme
Autor:
Ourania Spantidi, Georgios Zervakis, Sami Alsalamin, Isai Roman-Ballesteros, Jörg Henkel, Hussam Amrouch, Iraklis Anagnostopoulos
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. 11:112-125
Autor:
Georgios Zervakis, Iraklis Anagnostopoulos, Sami Salamin, Ourania Spantidi, Isai Roman-Ballesteros, Jorg Henkel, Hussam Amrouch
Publikováno v:
IEEE Transactions on Computers. 71:2687-2697
Impact of NCFET Technology on Eliminating the Cooling Cost and Boosting the Efficiency of Google TPU
Autor:
Sami Salamin, Florian Klemme, Jorg Henkel, Hussam Amrouch, Yogesh Singh Chauhan, Hammam Kattan, Georgios Zervakis
Publikováno v:
IEEE Transactions on Computers. 71:906-918
Recent breakthroughs in Neural Networks (NNs) led to significant accuracy improvements. This accuracy improvement comes at the cost of immense increase in computation demands. NNs became one of the most common and computationally intensive workloads
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4286d3799e6131e90cdfbe8dcb0caca
http://arxiv.org/abs/2303.08255
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d215de110ba55fb8fc4153811184e35
http://arxiv.org/abs/2302.14576
http://arxiv.org/abs/2302.14576
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 68:4299-4309
For the first time, we demonstrate an optimization technique to synthesize circuits in the Negative Capacitance FET (NCFET) technology. NCFET is a rapidly emerging technology to replace the currently employed CMOS technology due to its profound abili