Ordered arrays of a defect-modified ferroelectric polymer for non-volatile memory with minimized energy consumption

Nanoscale ◽  
2014 ◽  
Vol 6 (22) ◽  
pp. 13945-13951 ◽  
Author(s):  
Xiang-Zhong Chen ◽  
Xin Chen ◽  
Xu Guo ◽  
Yu-Shuang Cui ◽  
Qun-Dong Shen ◽  
...  
2010 ◽  
Vol 17 (4) ◽  
pp. 1135-1163 ◽  
Author(s):  
Youn Park ◽  
In-sung Bae ◽  
Seok Kang ◽  
Jiyoun Chang ◽  
Cheolmin Park

2011 ◽  
Vol 99 (1) ◽  
pp. 012901 ◽  
Author(s):  
Gwang-Geun Lee ◽  
Eisuke Tokumitsu ◽  
Sung-Min Yoon ◽  
Yoshihisa Fujisaki ◽  
Joo-Won Yoon ◽  
...  

2021 ◽  
Vol 20 (5s) ◽  
pp. 1-23
Author(s):  
Mario Günzel ◽  
Christian Hakert ◽  
Kuan-Hsun Chen ◽  
Jian-Jia Chen

Dynamic power management (DPM) reduces the power consumption of a computing system when it idles, by switching the system into a low power state for hibernation. When all processors in the system share the same component, e.g., a shared memory, powering off this component during hibernation is only possible when all processors idle at the same time. For a real-time system, the schedulability property has to be guaranteed on every processor, especially if idle intervals are considered to be actively introduced. In this work, we consider real-time systems with hybrid shared-memory architectures, which consist of shared volatile memory (VM) and non-volatile memory (NVM). Energy-efficient execution is achieved by applying DPM to turn off all memories during the hibernation mode. Towards this, we first explore the hybrid memory architectures and suggest a task model, which features configurable hibernation overheads. We propose a multi-processor procrastination algorithm (HEART), based on partitioned earliest-deadline-first (pEDF) scheduling. Our algorithm facilitates reducing the energy consumption by actively enlarging the hibernation time. It enforces all processors to idle simultaneously without violating the schedulability condition, such that the system can enter the hibernation state, where shared memories are turned off. Throughout extensive evaluation of HEART, we demonstrate (1) the increase in potential hibernation time, respectively the decrease in energy consumption, and (2) that our algorithm is not only more general but also has better performance than the state of the art with respect to energy efficiency in most cases.


Author(s):  
Masashi TAWADA ◽  
Shinji KIMURA ◽  
Masao YANAGISAWA ◽  
Nozomu TOGAWA

2016 ◽  
Vol 213 (9) ◽  
pp. 2446-2451 ◽  
Author(s):  
Klemens Ilse ◽  
Thomas Schneider ◽  
Johannes Ziegler ◽  
Alexander Sprafke ◽  
Ralf B. Wehrspohn

Author(s):  
Franz-Josef Streit ◽  
Florian Fritz ◽  
Andreas Becher ◽  
Stefan Wildermann ◽  
Stefan Werner ◽  
...  

2021 ◽  
Vol 2 ◽  
pp. 31-40
Author(s):  
Jiang Li ◽  
Yijun Cui ◽  
Chongyan Gu ◽  
Chenghua Wang ◽  
Weiqiang Liu ◽  
...  

2021 ◽  
Vol 15 (5) ◽  
Author(s):  
Haitao Wang ◽  
Zhanhuai Li ◽  
Xiao Zhang ◽  
Xiaonan Zhao ◽  
Song Jiang

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