Reducing Peak Temperature by Redistributing Idle-Time in Modern MPSoCs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F23%3A00367843" target="_blank" >RIV/68407700:21730/23:00367843 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/ISORC58943.2023.00020" target="_blank" >https://doi.org/10.1109/ISORC58943.2023.00020</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ISORC58943.2023.00020" target="_blank" >10.1109/ISORC58943.2023.00020</a>
Alternative languages
Result language
angličtina
Original language name
Reducing Peak Temperature by Redistributing Idle-Time in Modern MPSoCs
Original language description
Reducing heat dissipation is critical for modern multi-core systems to meet increasing computational performance requirements. In this paper, we investigate the impact of idle-time distribution on the peak temperature of Multi-processor System-on-Chip (MPSoCs) for the constrained-deadline non-preemptive task scheduling problem that is common in safety-critical systems. It is assumed that the transient thermal behavior of the platform cannot be neglected and must be modeled and accounted for by the optimization algorithms. In this context, we derive a dual-node thermal model that can be well applied to a dual-cluster i.MX8 QuadMax from NXP. Based on this model, we implement two offline optimization-based strategies, including an iterative per-core approach based on the principles presented in the related literature and a novel holistic approach. The results show that the per-core approach and the holistic approach reduce the peak temperature by 7.1% and 14% on average compared to the traditional non-thermal approach. We perform the experiments on the i.MX8 QuadMax platform to validate the applicability of the results and observe a good match between the model-based simulations and the actual physical platform measurements.
Czech name
—
Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/CK03000033" target="_blank" >CK03000033: Platform for certification of highly automated vehicles</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC)
ISBN
979-8-3503-3903-1
ISSN
2770-1611
e-ISSN
2770-162X
Number of pages
10
Pages from-to
76-85
Publisher name
IEEE Xplore
Place of publication
—
Event location
Nashville, Tennessee
Event date
May 23, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001044268900008