Reducing Peak Temperature by Redistributing Idle-Time in Modern MPSoCs

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Reducing Peak Temperature by Redistributing Idle-Time in Modern MPSoCs

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Reducing Peak Temperature by Redistributing Idle-Time in Modern MPSoCs

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/CK03000033" target="_blank" >CK03000033: Platforma pro certifikaci automobilů s pokročilou automatizací řízení</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC)

ISBN

979-8-3503-3903-1

ISSN

2770-1611

e-ISSN

2770-162X

Počet stran výsledku

10

Strana od-do

76-85

Název nakladatele

IEEE Xplore

Místo vydání

—

Místo konání akce

Nashville, Tennessee

Datum konání akce

23. 5. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001044268900008