On Fundamental Principles for Thermal-Aware Design on Periodic Real-Time Multi-Core Systems

Author:

Sha Shi1,Bankar Ajinkya S.2,Yang Xiaokun3,Wen Wujie4,Quan Gang2

Affiliation:

1. Wilkes University, Wilkes-Barre, PA

2. Florida International University, Miami, FL

3. University of Houston Clear Lake, Houston, TX

4. Lehigh University, Bethlehem, PA

Abstract

With the exponential rise of the transistor count in one chip, the thermal problem has become a pressing issue in computing system design. While there have been extensive methods and techniques published for design optimization with thermal awareness, there is a need for more rigorous and formal thermal analysis in designing real-time systems and applications that demand a strong exception guarantee. In this article, we analytically prove a series of fundamental properties and principles concerning the RC thermal model, peak temperature identification, and peak temperature reduction for periodic real-time systems, which are general enough to be applied on 2D and 3D multi-core platforms. These findings enhance the worst-case temperature predictability in runtime scenarios, as well as help to develop more effective thermal management policy, which is key to thermal-constrained periodic real-time system design.

Publisher

Association for Computing Machinery (ACM)

Subject

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

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Investigation of Micro-Parameters Towards Green Computing in Multi-Core Systems;Lecture Notes in Electrical Engineering;2023

2. Thermal Aware System-Wide Reliability Optimization for Automotive Distributed Computing Applications;IEEE Transactions on Vehicular Technology;2022-10

3. Minimizing the Maximum Processor Temperature by Temperature-Aware Scheduling of Real-Time Tasks;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2022-08

4. Thermal Aware Lifetime Reliability Optimization for Automotive Distributed Computing Applications;2020 IEEE 38th International Conference on Computer Design (ICCD);2020-10

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