Energy, latency, and lifetime improvements in MLC NVM with enhanced WOM code

Huizhang Luo, Liang Shi, Qiao Li, Chun Jason Xue, Edwin H.M. Sha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Non-volatile memories (NVMs), such as phase change memory (PCM) and resistive random access memory (ReRAM), have emerged as promising memory technologies for replacements of DRAM due to their advantages, such as better scalability, zero cell leakage, and DRAM-comparable read latency. Furthermore, multiple level cell (MLC) NVMs offer high data density and memory capacity over single level cell (SLC) NVM-s. However, the adoption of MLC NVMs is limited by their high programming energy and latency as well as the low endurance. In this paper, we propose an enhanced (23}2/4 WOM code for ML-C NVMs, which exploits the asymmetric characteristic in MLC NVM cell state transitions. Unlike the conventional WOM codes that focus on eliminating the worst-case latency writes, we propose to enlarge the best-case latency writes in MLC NVM cell state transitions. After data shaping with the enhanced WOM code, proportion of the best-case latency writes is maximized. In this way, the enhanced WOM code simultaneously reduces energy and latency, and improves lifetime with no memory and logic overheads. Evaluations show exciting improvement from the proposed approach.

Original languageEnglish (US)
Title of host publicationASP-DAC 2018 - 23rd Asia and South Pacific Design Automation Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages554-559
Number of pages6
ISBN (Electronic)9781509006021
DOIs
StatePublished - Feb 20 2018
Externally publishedYes
Event23rd Asia and South Pacific Design Automation Conference, ASP-DAC 2018 - Jeju, Korea, Republic of
Duration: Jan 22 2018Jan 25 2018

Publication series

NameProceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
Volume2018-January

Other

Other23rd Asia and South Pacific Design Automation Conference, ASP-DAC 2018
Country/TerritoryKorea, Republic of
CityJeju
Period1/22/181/25/18

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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