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pro vyhledávání: '"near-threshold computing"'
Akademický článek
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Akademický článek
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Autor:
Joonho Kong, Jae Young Hur
Publikováno v:
IEEE Access, Vol 8, Pp 18558-18570 (2020)
Near-threshold computing (NTC) has recently emerged and been considered as a strong candidate for future energy-efficient computing. However, adverse impacts from process variation such as delay and power fluctuations within die as well as across die
Externí odkaz:
https://doaj.org/article/74bd58e3e6ac4098b6676dd5c5cd20f8
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 12, Iss 2, p 32 (2022)
Increasing processing requirements in the Artificial Intelligence (AI) realm has led to the emergence of domain-specific architectures for Deep Neural Network (DNN) applications. Tensor Processing Unit (TPU), a DNN accelerator by Google, has emerged
Externí odkaz:
https://doaj.org/article/898d2d7bf07f4b30b2e17a8e811dd93e
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 10, Iss 4, p 42 (2020)
Modern electronic devices are an indispensable part of our everyday life. A major enabler for such integration is the exponential increase of the computation capabilities as well as the drastic improvement in the energy efficiency over the last 50 ye
Externí odkaz:
https://doaj.org/article/8c9b094741e846fdae3cfb28536e2b39
Autor:
Pramesh Pandey, Noel Daniel Gundi, Prabal Basu, Tahmoures Shabanian, Mitchell Craig Patrick, Koushik Chakraborty, Sanghamitra Roy
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 10, Iss 4, p 33 (2020)
AI evolution is accelerating and Deep Neural Network (DNN) inference accelerators are at the forefront of ad hoc architectures that are evolving to support the immense throughput required for AI computation. However, much more energy efficient design
Externí odkaz:
https://doaj.org/article/f9b11576b3d84eef9635bf7b43e1e056
Autor:
Mila Lewerenz, Mathieu Luisier, Juerg Leuthold, Bojun Cheng, Jan Aeschlimann, Alexandros Emboras, Elias Passerini, Taekwang Jang, Lianbo Wu, Ueli Koch, Jiawei Liao, Fabian Ducry
Publikováno v:
IEEE Transactions on Electron Devices, 68 (6)
In this article, we present ultralow leakage logic circuits by combining 3-D memristors with CMOS transistors. Significant leakage current reductions of up to 99% are found by experiments and simulation for a memristive hybrid-inverter if compared wi
Publikováno v:
Electrical and Computer Engineering Faculty Publications
The emergence of hardware accelerators has brought about several orders of magnitude improvement in the speed of the deep neural-network (DNN) inference. Among such DNN accelerators, the Google tensor processing unit (TPU) has transpired to be the be
Autor:
Jae Young Hur, Joonho Kong
Publikováno v:
IEEE Access, Vol 8, Pp 18558-18570 (2020)
Near-threshold computing (NTC) has recently emerged and been considered as a strong candidate for future energy-efficient computing. However, adverse impacts from process variation such as delay and power fluctuations within die as well as across die
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 8, Iss 3, p 28 (2018)
Energy-efficient microprocessors are essential for a wide range of applications. While near-threshold computing is a promising technique to improve energy efficiency, optimal supply demands from logic core and on-chip memory are conflicting. In this
Externí odkaz:
https://doaj.org/article/5672a1fb037242de86b12b0bdde06280