Adaptive Thermal Management for 3D ICs with Stacked DRAM Caches

Dawei Li, Kaicheng Zhang, Akhil Guliani, Seda Ogrenci Memik

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

3 Scopus citations

Abstract

We describe an adaptive thermal management system for 3D-ICs with stacked DRAM cache memories. We present a detailed analysis of the impact of 3D-IC hotspot aggregation on the refresh behavior of the stacked DRAM-based L3 cache. We also present the consequence of the refresh variation on the overall system performance and cache energy consumption. Our analysis demonstrates that memory intensive applications are influenced more strongly by the DRAM refresh variation. We show that there is an optimal operating point where, with a reduced clock frequency, processor cores would actually recover any performance loss induced by DRAM refresh and at the same time the cache energy consumption could be optimized. We propose a low overhead run-time method that can identify the best CPU frequency modulation factor to cool the system to minimize accelerated refresh rates in the DRAM caches. Our system can provide a customizable trade-off between performance of the processor and energy savings of the memory.

Original languageEnglish (US)
Title of host publicationProceedings of the 54th Annual Design Automation Conference 2017, DAC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781450349277
DOIs
StatePublished - Jun 18 2017
Event54th Annual Design Automation Conference, DAC 2017 - Austin, United States
Duration: Jun 18 2017Jun 22 2017

Publication series

NameProceedings - Design Automation Conference
VolumePart 128280
ISSN (Print)0738-100X

Other

Other54th Annual Design Automation Conference, DAC 2017
CountryUnited States
CityAustin
Period6/18/176/22/17

Keywords

  • 3D-IC
  • DRAM
  • cache
  • low power design
  • thermal management

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modeling and Simulation

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