A4 Article in conference proceedings
Trends in on-chip dynamic resource management




List of Authors: Kasra Moazzemi, Anil Kanduri, Dávid Juhász, Antonio Miele, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Nikil Dutt
Publisher: Institute of Electrical and Electronics Engineers Inc.
Publication year: 2018
Book title *: 2018 21st Euromicro Conference on Digital System Design (DSD)
Journal name in source: Proceedings - 21st Euromicro Conference on Digital System Design, DSD 2018
ISBN: 978-1-5386-7378-2
eISBN: 978-1-5386-7377-5

Abstract

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.



Internal Authors/Editors

Last updated on 2019-21-08 at 21:40