.png){kind=icon}
返回
A Write-friendly Arithmetic Coding Scheme for Achieving Energy-Efficient Non-Volatile Memory Systems
.png){kind=icon}
PRE
AI
DOI：10.1145/3394885.3431511.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In the era of the Internet of Things (IoT), wearable IoT devices become popular and closely related to our life. Most of these devices are based on the embedded systems that have to operate on limited energy resources, such as batteries or energy harvesters. Therefore, energy efficiency is one of the critical issues for these devices. To relieve the energy consumption by reducing the total accesses on memory and storage layers, the technologies of storage-class memory (SCM) and data compression techniques are applied to eliminate the data movements and squeeze the data size, respectively. However, the information gap between them hinders the cooperation among the two techniques for achieving further optimizations on minimizing energy consumption. This work proposes a write-friendly arithmetic coding with joint managing both techniques to achieve energy-efficient non-volatile memory (NVM) systems. In particular, the concept of ignorable bits is introduced to further skip the write operations while storing the compressed data into SCM devices. The proposed design was evaluated by a series of intensive experiments, and the results are encouraging.
Keyword:
Internet of Things
non-volatile memory
data compression
arithmetic coding
energy efficiency
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
A
IF:
0
论文数:
7
被引数:
0
机构
引用论文
Reliability and construct validity of the Automated Neuropsychological Assessment Metrics (ANAM) mood scale自动神经心理学评估指标 (ANAM) 情绪量表的信度和结构效度
OAAI
OAAI分享收藏
Biomass-fuelled combined heat and power: integration in district heating and thermal-energy storage.png)
Clean EnergyOAAI
Clean EnergyIF0
OAAI分享收藏
查看更多内容