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Trends in on-chip dynamic resource management

Proceedings - 21st Euromicro Conference on Digital System Design, DSD 2018, Page: 62-69
2018
  • 5
    Citations
  • 0
    Usage
  • 26
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    5
    • Citation Indexes
      5
  • Captures
    26

Conference Paper Description

The Complexity of emerging multi/many-core architectures and diversity of modern workloads demands coordinated dynamic resource management methods. We introduce a classification for these methods capturing the utilized resources and metrics. In this work, we use this classification to survey the key efforts in dynamic resource management. We first cover heuristic and optimization methods used to manage resources such as power, energy, temperature, Quality-of-Service (QoS) and reliability of the system. We then identify some of the machine learning based methods used in tuning architectural parameters in computer systems. In many cases, resource managers need to enforce design constraints during runtime with a certain level of guarantee. Hence, we also study the trend in deploying formal control theoretic approaches in order to achieve efficient and robust dynamic resource management.

Bibliographic Details

Kasra Moazzemi; Amir M. Rahmani; Nikil Dutt; Anil Kanduri; Pasi Liljeberg; Axel Jantsch; David Juhasz; Antonio Miele

Institute of Electrical and Electronics Engineers (IEEE)

Computer Science

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