RESTORE: Real-Time Task Scheduling on a Temperature Aware FinFET based Multicore

Sharma, Yanshul; Moulik, Sanjay; Chakraborty, Shounak

Abstract

In this work, we propose RESTORE that exploits the unique thermal feature of FinFET based multicore platforms, where processing speed increases with temperature, in the context of time-criticality to meet other design constraints of real-time systems. RESTORE is a temperature aware real-time scheduler for FinFET based multicore system that first derives a task-to-core allocation, and prepares a schedule. Next, it balances the performance and temperature on the fly by incorporating a prudential temperature cognizant voltage/frequency scaling while guaranteeing task deadlines. Simulation results claim, RESTORE is able to maintain a safe and stable thermal status (peak temperature below 80°C), hence the frequency (3.7 GHz on an average), that ensures legitimate time-critical performance for a variety of workloads while surpassing state-of-the-arts.

Citation

Sharma, Y., Moulik, S., & Chakraborty, S. (2022, March). RESTORE: Real-Time Task Scheduling on a Temperature Aware FinFET based Multicore. Presented at 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), Antwerp, Belgium

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
• Start Date: Mar 14, 2022
• End Date: Mar 23, 2022
• Acceptance Date: Dec 15, 2021
• Online Publication Date: May 19, 2022
• Publication Date: Mar 14, 2022
• Deposit Date: Jan 9, 2025
• Peer Reviewed: Peer Reviewed
• Pages: 608-611
• Book Title: 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
• DOI: https://doi.org/10.23919/date54114.2022.9774647
• Public URL: https://durham-repository.worktribe.com/output/3328997