Thermal modeling and optimal allocation of avionics safety-critical tasks on heterogeneous MPSoCs

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F25%3A00384376" target="_blank" >RIV/68407700:21730/25:00384376 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.jpdc.2025.105107" target="_blank" >https://doi.org/10.1016/j.jpdc.2025.105107</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jpdc.2025.105107" target="_blank" >10.1016/j.jpdc.2025.105107</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Thermal modeling and optimal allocation of avionics safety-critical tasks on heterogeneous MPSoCs

Popis výsledku v původním jazyce

Multi-Processor Systems-on-Chip (MPSoC) can deliver high performance needed in many industrial domains, including aerospace. However, their high power consumption, combined with avionics safety standards, brings new thermal management challenges. This paper investigates techniques for offline thermal-aware allocation of periodic tasks on heterogeneous MPSoCs running at a fixed clock frequency, as required in avionics. The goal is to find the assignment of tasks to (i) cores and (ii) temporal isolation windows, as required in ARINC 653 standard, while minimizing the MPSoC temperature. To achieve that, we formulate a new optimization problem, we derive its NP-hardness, and we identify its subproblem solvable in polynomial time. Furthermore, we propose and analyze three power models, and integrate them within several novel optimization approaches based on heuristics, a black-box optimizer, and Integer Linear Programming (ILP). We perform the experimental evaluation on three popular MPSoC platforms (NXP i.MX8QM MEK, NXP i.MX8QM Ixora, NVIDIA TX2) and observe a difference of up to 5.5 °C among the tested methods (corresponding to a 22% reduction w.r.t. the ambient temperature). We also show that our method, integrating the empirical power model with the ILP, outperforms the other methods on all tested platforms.

Název v anglickém jazyce

Thermal modeling and optimal allocation of avionics safety-critical tasks on heterogeneous MPSoCs

Popis výsledku anglicky

Multi-Processor Systems-on-Chip (MPSoC) can deliver high performance needed in many industrial domains, including aerospace. However, their high power consumption, combined with avionics safety standards, brings new thermal management challenges. This paper investigates techniques for offline thermal-aware allocation of periodic tasks on heterogeneous MPSoCs running at a fixed clock frequency, as required in avionics. The goal is to find the assignment of tasks to (i) cores and (ii) temporal isolation windows, as required in ARINC 653 standard, while minimizing the MPSoC temperature. To achieve that, we formulate a new optimization problem, we derive its NP-hardness, and we identify its subproblem solvable in polynomial time. Furthermore, we propose and analyze three power models, and integrate them within several novel optimization approaches based on heuristics, a black-box optimizer, and Integer Linear Programming (ILP). We perform the experimental evaluation on three popular MPSoC platforms (NXP i.MX8QM MEK, NXP i.MX8QM Ixora, NVIDIA TX2) and observe a difference of up to 5.5 °C among the tested methods (corresponding to a 22% reduction w.r.t. the ambient temperature). We also show that our method, integrating the empirical power model with the ILP, outperforms the other methods on all tested platforms.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

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

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

Journal of Parallel and Distributed Computing

ISSN

0743-7315

e-ISSN

1096-0848

Svazek periodika

203

Číslo periodika v rámci svazku

September

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

25

Strana od-do

—

Kód UT WoS článku

001499520400002

EID výsledku v databázi Scopus

2-s2.0-105005572097