Tri-level-cell phase change memory

Author:

Seong Nak Hee1,Yeo Sungkap1,Lee Hsien-Hsin S.1

Affiliation:

1. Georgia Institute of Technology, Atlanta, GA

Abstract

There are several emerging memory technologies looming on the horizon to compensate the physical scaling challenges of DRAM. Phase change memory (PCM) is one such candidate proposed for being part of the main memory in computing systems. One salient feature of PCM is its multi-level-cell (MLC) property, which can be used to multiply the memory capacity at the cell level. However, due to the nature of PCM that the value written to the cell can drift over time, PCM is prone to a unique type of soft errors, posing a great challenge for their practical deployment. This paper first quantitatively studied the current art for MLC PCM in dealing with the resistance drift problem and showed that the previously proposed techniques such as scrubbing or error correction mechanisms have significant reliability challenges to overcome. We then propose tri-level-cell PCM and demonstrate its ability to achieving 10 5 x lower soft error rate than four-level-cell PCM and 1.33 x higher information density than single-level-cell PCM. According to our findings, the tri-level-cell PCM shows 36.4% performance improvement over the four-level-cell PCM while achieving the soft error rate of DRAM.

Funder

Intel Corporation

Division of Computer and Network Systems

International Business Machines Corporation

Publisher

Association for Computing Machinery (ACM)

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1. PCM-2R: Accelerating MLC PCM Writes via Data Reshaping and Remapping;Mobile Information Systems;2022-07-16

2. Enhancing the Data Reliability of Multilevel Storage in Phase Change Memory with 2T2R Cell Structure;Micromachines;2021-09-09

3. A survey of operating system support for persistent memory;Frontiers of Computer Science;2021-02-11

4. ECC cache;Proceedings of the 39th International Conference on Computer-Aided Design;2020-11-02

5. A Review of Germanium-Antimony-Telluride Phase Change Materials for Non-Volatile Memories and Optical Modulators;Applied Sciences;2019-02-04

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