AgileRegulator: A hybrid voltage regulator scheme redeeming dark silicon for power efficiency in a multicore architecture

Author(s):  
Guihai Yan ◽  
Yingmin Li ◽  
Yinhe Han ◽  
Xiaowei Li ◽  
Minyi Guo ◽  
...  
2009 ◽  
Vol 18 (05) ◽  
pp. 947-963 ◽  
Author(s):  
CHIA-CHUN TSAI ◽  
CHIN-YEN LIN ◽  
YUH-SHYAN HWANG ◽  
TRONG-YEN LEE

In this paper, we design a CMOS Li-Ion battery charger using the multimode low dropout (LDO) voltage regulator associated with a current sense to supply trickle current, constant current, and constant voltage for charging the battery in order. The protections from over charging and discharging are also considered by monitoring the charging current, reverse voltage, and battery temperature. The whole charger has been verified by HSPICE with TSMC 0.35 μm 2P4M CMOS process. The charger provides the trickle current of 150 mA, maximum charging current of 312 mA, and charging voltage of 4.2 V at the input voltage of 4.5 V. The power efficiency of 72.3% is acceptable under the power consumption of 1.28 W. The chip occupies an area of 1.78 mm × 1.77 mm including 2955 transistors.


2021 ◽  
Vol 18 (4) ◽  
pp. 1-27
Author(s):  
An Zou ◽  
Huifeng Zhu ◽  
Jingwen Leng ◽  
Xin He ◽  
Vijay Janapa Reddi ◽  
...  

Despite being employed in numerous efforts to improve power delivery efficiency, the integrated voltage regulator (IVR) approach has yet to be evaluated rigorously and quantitatively in a full power delivery system (PDS) setting. To fulfill this need, we present a system-level modeling and design space exploration framework called Ivory for IVR-assisted power delivery systems. Using a novel modeling methodology, it can accurately estimate power delivery efficiency, static performance characteristics, and dynamic transient responses under different load variations and external voltage/frequency scaling conditions. We validate the model over a wide range of IVR topologies with silicon measurement and SPICE simulation. Finally, we present two case studies using architecture-level performance and power simulators. The first case study focuses on optimal PDS design for multi-core systems, which achieves 8.6% power efficiency improvement over conventional off-chip voltage regulator module– (VRM) based PDS. The second case study explores the design tradeoffs for IVR-assisted PDSs in CPU and GPU systems with fast per-core dynamic voltage and frequency scaling (DVFS). We find 2 μs to be the optimal DVFS timescale, which not only reaps energy benefits (12.5% improvement in CPU and 50.0% improvement in GPU) but also avoids costly IVR overheads.


2012 ◽  
Vol 132 (5) ◽  
pp. 436-444 ◽  
Author(s):  
Katsuhiro Matsuda ◽  
Kazuhiro Horikoshi ◽  
Toshiyuki Seto ◽  
Osamu Iyama ◽  
Hiromu Kobayashi

2015 ◽  
Vol 135 (3) ◽  
pp. 114-115 ◽  
Author(s):  
Ryoto Sato ◽  
Daisuke Yasumatsu ◽  
Shinya Kumagai ◽  
Masaru Hori ◽  
Minoru Sasaki

Author(s):  
B. P. Khozyainov

The article carries out the experimental and analytical studies of three-blade wind power installation and gives the technique for measurements of angular rate of wind turbine rotation depending on the wind speeds, the rotating moment and its power. We have made the comparison of the calculation results according to the formulas offered with the indicators of the wind turbine tests executed in natural conditions. The tests were carried out at wind speeds from 0.709 m/s to 6.427 m/s. The wind power efficiency (WPE) for ideal traditional installation is known to be 0.45. According to the analytical calculations, wind power efficiency of the wind turbine with 3-bladed and 6 wind guide screens at wind speedsfrom 0.709 to 6.427 is equal to 0.317, and in the range of speed from 0.709 to 4.5 m/s – 0.351, but the experimental coefficient is much higher. The analysis of WPE variations shows that the work with the wind guide screens at insignificant average air flow velocity during the set period of time appears to be more effective, than the work without them. If the air flow velocity increases, the wind power efficiency gradually decreases. Such a good fit between experimental data and analytical calculations is confirmed by comparison of F-test design criterion with its tabular values. In the design of wind turbines, it allows determining the wind turbine power, setting the geometrical parameters and mass of all details for their efficient performance.


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