TREAFET: Temperature-Aware Real-Time Task Scheduling for FinFET based Multicores

Chakraborty, Shounak; Sharma, Yanshul; Moulik, Sanjay

Abstract

The recent shift in the VLSI industry from conventional MOSFET to FinFET for designing contemporary chip-multiprocessor (CMP) has noticeably improved hardware platforms’ computing capabilities, but at the cost of several thermal issues. Unlike the conventional MOSFET, FinFET devices experience a significant increase in circuit speed at a higher temperature, called temperature effect inversion (TEI), but higher temperature can also curtail the circuit lifetime due to self-heating effects (SHEs). These fundamental thermal properties of FinFET introduced a new challenge for scheduling time-critical tasks on FinFET-based multicores that how to exploit TEI towards improving performance while combating SHEs. In this work, TREAFET, a temperature-aware real-time scheduler, attempts to exploit the TEI feature of FinFET-based multicores in a time-critical computing paradigm. At first, the overall progress of individual tasks is monitored, tasks are allocated to the cores, and finally, a schedule is prepared. By considering the thermal profiles of the individual tasks and the current thermal status of the cores, hot tasks are assigned to the cold cores and vice-versa. Finally, the performance and temperature are balanced on-the-fly by incorporating a prudential voltage scaling towards exploiting TEI while guaranteeing the deadline and thermal safety. Moreover, TREAFET stimulates the average runtime frequency by employing an opportunistic energy-adaptive voltage spiking mechanism, in which energy saving during memory stalls at the cores is traded off during the time slice having the spiked voltage. Simulation results claim TREAFET maintains a safe and stable thermal status (peak temperature below 80 °C) and improves frequency up to 17% over the assigned value, which ensures legitimate time-critical performance for a variety of workloads while surpassing a state-of-the-art technique. The stimulated frequency in TREAFET also finishes the tasks early, thus providing opportunities to save energy by power gating the cores, and achieves a 24% energy delay product (EDP) gain on average.

Citation

Chakraborty, S., Sharma, Y., & Moulik, S. (2024). TREAFET: Temperature-Aware Real-Time Task Scheduling for FinFET based Multicores. ACM Transactions on Embedded Computing Systems, 23(4), Article 61. https://doi.org/10.1145/3665276

• Journal Article Type: Article
• Acceptance Date: May 7, 2024
• Online Publication Date: Jun 29, 2024
• Publication Date: Jul 31, 2024
• Deposit Date: Jan 9, 2025
• Journal: ACM Transactions on Embedded Computing Systems
• Print ISSN: 1539-9087
• Electronic ISSN: 1558-3465
• Publisher: Association for Computing Machinery (ACM)
• Peer Reviewed: Peer Reviewed
• Volume: 23
• Issue: 4
• Article Number: 61
• DOI: https://doi.org/10.1145/3665276
• Public URL: https://durham-repository.worktribe.com/output/3328965
• Additional Information: Available open access via DOI