Fine-grained checkpoint based on non-volatile memory

2017 ◽  
Vol 18 (2) ◽  
pp. 220-234 ◽  
Author(s):  
Wen-zhe Zhang ◽  
Kai Lu ◽  
Mikel Luján ◽  
Xiao-ping Wang ◽  
Xu Zhou
Author(s):  
Xianzhang Chen ◽  
Zhuge Qingfeng ◽  
Qiang Sun ◽  
Edwin H.-M. Sha ◽  
Shouzhen Gu ◽  
...  

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1760
Author(s):  
Xiaochang Li ◽  
Zhengjun Zhai

During the recent decades, non-volatile memory (NVM) has been anticipated to scale up the main memory size, improve the performance of applications, and reduce the speed gap between main memory and storage devices, while supporting persistent storage to cope with power outages. However, to fit NVM, all existing DRAM-based applications have to be rewritten by developers. Therefore, the developer must have a good understanding of targeted application codes, so as to manually distinguish and store data fit for NVM. In order to intelligently facilitate NVM deployment for existing legacy applications, we propose a universal heterogeneous cache hierarchy which is able to automatically select and store the appropriate data of applications for non-volatile memory (UHNVM), without compulsory code understanding. In this article, a program context (PC) technique is proposed in the user space to help UHNVM to classify data. Comparing to the conventional hot or cold files categories, the PC technique can categorize application data in a fine-grained manner, enabling us to store them either in NVM or SSDs efficiently for better performance. Our experimental results using a real Optane dual-inline-memory-module (DIMM) card show that our new heterogeneous architecture reduces elapsed times by about 11% compared to the conventional kernel memory configuration without NVM.


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

AIP Advances ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 125124
Author(s):  
Xinyi Zhu ◽  
Longfei He ◽  
Yafen Yang ◽  
Kai Zhang ◽  
Hao Zhu ◽  
...  

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