low power architectures
Recently Published Documents


TOTAL DOCUMENTS

42
(FIVE YEARS 6)

H-INDEX

7
(FIVE YEARS 0)

2021 ◽  
Author(s):  
Tulio Pereira Bitencourt ◽  
Fabio Luis Livi Ramos ◽  
Sergio Bampi

2021 ◽  
pp. 104299
Author(s):  
Emanuel Di Nardo ◽  
Vincenzo Santopietro ◽  
Alfredo Petrosino

Author(s):  
Mohsen Imani ◽  
Zhuowen Zou ◽  
Samuel Bosch ◽  
Sanjay Anantha Rao ◽  
Sahand Salamat ◽  
...  

2020 ◽  
Vol 11 ◽  
pp. 105-111
Author(s):  
K. R. Haripriya ◽  
Ajay Somkuwar ◽  
Laxmi Kumre

Leakage power consumption has been almost a serious problem these days in semiconductor industry. Many low power techniques like multi-voltage, power gating etc. are deployed to improve power saving. Power aware verification hence has become a critical issue now. Static low power verification has been developed to verify that low power architectures are designed in correct approach meeting all electrical rules in SoC. The UPF(Unified Power Format) is the standardized format that has all power intent information and can be used throughout the design flow to ensure that the power specification is intact. Firstly, this paper describes the special cells and its operation used in low power techniques. Secondly it describes the major checks examined at each stage using Synopsys VCLP tool and finally debugging with the tool and conclusion.


Physiological or behavioral characteristics of a person being identified or verified using biometric systems. The preprocessing block has the fir filter in which enhanced energy-efficiency has been obtained by introducing the low power architectures within it. The implementation of low power architectures in the fir filter part will further provide the optimization in the various parameters such as power, area and timing. Therefore, this will help us to do the biometrics process faster and efficient.


Author(s):  
Pablo J. Pavan ◽  
Ricardo K. Lorenzoni ◽  
Vinícius R. Machado ◽  
Jean L. Bez ◽  
Edson L. Padoin ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document