Memory access algorithm for low energy CPU/GPU heterogeneous systems with hybrid DRAM/NVM memory architecture

Tsai Kan Chien, Lih Yih Chiou, Chieh Wen Cheng, Shyh Shyuan Sheu, Pei Hua Wang, Ming Jinn Tsai, Chih I. Wu

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

2 Citations (Scopus)

Abstract

In modern mobile devices, the CPU and GPU can jointly access one shared memory, typically consisting of only DRAM, by using heterogeneous uniform memory access (hUMA). This paper proposes an access algorithm, migration by data access tendency (MiDATE), for a hybrid main memory architecture consisting of resistive random access memory and DRAM. The MiDATE algorithm can operate on this hybrid memory architecture, reducing energy consumption by 83% while maintaining approximately the same speed as that of DRAM-only systems. Using the MiDATE algorithm can, on average, reduce unfairness by 36.5% compared with that of conventional hUMA methods, increasing system speed.

Original languageEnglish
Title of host publication2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages461-464
Number of pages4
ISBN (Electronic)9781509015702
DOIs
Publication statusPublished - 2017 Jan 3
Event2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016 - Jeju, Korea, Republic of
Duration: 2016 Oct 252016 Oct 28

Publication series

Name2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016

Other

Other2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016
Country/TerritoryKorea, Republic of
CityJeju
Period16-10-2516-10-28

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Signal Processing

Fingerprint

Dive into the research topics of 'Memory access algorithm for low energy CPU/GPU heterogeneous systems with hybrid DRAM/NVM memory architecture'. Together they form a unique fingerprint.

Cite this