Improving Read Performance for LDPC-Based SSDs with Adaptive Bit Labeling on $V_{th}$ States
Jia-Xin Hou, Li-Pin Chang
National Yang Ming Chiao Tung University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
NAND-based Solid-State Disks (SSDs) have become the mainstream storage solution thanks to their high I/O performance and data persistency. Modern SSDs boost their storage capacity by increasing the flash cell-bit density, resulting in severe leakage-induced bit errors over time. Low-Density Parity-Check (LDPC) is a common error correcting code for flash memory, which features incremental decoding strength levels through adding extra voltage sensing levels. However, when bit error rate becomes high, LDPC decoding with strong correction will be very slow. In this study, we identify that the read latency is strongly correlated with the method of bit labeling on cell threshold-voltage states, and based on this finding we propose using adaptive bit labeling to optimize the SSD read latency. Specifically, our method employ 2-3-2 Gray Coding as the default mode, and frequently-read data will be switched to using the least-significant page and center-significant page with 1-2-4 Gray Coding for fast reading. Our experimental results show that our design greatly outperforms static bit labeling and a state-of-the-art method.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
计算机 / AIAdvanced Data Storage Technologies
Error Correcting Code Techniques · Caching and Content Delivery
参考文献 20
此处列出前 3 条
引用本文 3
按被引量排序,此处列出前 3 条