Peak-to-average pumping efficiency improvement for charge pump in Phase Change Memories

Huizhang Luo, Jingtong Hu, Liang Shi, Chun Jason Xue, Qingfeng Zhuge

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

2 Scopus citations

Abstract

The emerging Phase Change Memory (PCM) is considered as a promising candidate to replace DRAM as the next generation main memory since it has better scalability and lower leakage power. However, the high write power consumption has become a main challenge in adopting PCM as main memory. In addition to the fact that writing to PCM cells requires high write current and voltage, current loss in the charge pumps (CPs) also contributes a large percentage of the high power consumption. The pumping efficiency of a PCM chip is a concave function of the write current. Based on the characteristics of the concave function, the overall pumping efficiency can be improved if the write current is uniform. In this paper, we propose the peak-to-average (PTA) write scheme, which smooths the write current fluctuation by regrouping write units. An off-line optimal Integer Programming (IP) formulation and an efficient online algorithm are proposed to achieve this goal. Experimental results show that PTA can improve the charge pump efficiency to ∼40% with little overhead. Meanwhile, PTA can achieve 17.0% energy reduction on average.

Original languageEnglish (US)
Title of host publication2016 21st Asia and South Pacific Design Automation Conference, ASP-DAC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages450-455
Number of pages6
ISBN (Electronic)9781467395694
DOIs
StatePublished - Mar 7 2016
Externally publishedYes
Event21st Asia and South Pacific Design Automation Conference, ASP-DAC 2016 - Macao, Macao
Duration: Jan 25 2016Jan 28 2016

Publication series

NameProceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
Volume25-28-January-2016

Other

Other21st Asia and South Pacific Design Automation Conference, ASP-DAC 2016
CountryMacao
CityMacao
Period1/25/161/28/16

All Science Journal Classification (ASJC) codes

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

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