RESTORE: Real-Time Task Scheduling on a Temperature Aware FinFET based Multicore
Yanshul Sharma, Sanjay Moulik, Shounak Chakraborty · 2022
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.