Presentation
MAFin: Maximizing Accuracy in FinFET based Approximated Real-Time Computing
DescriptionWe propose MAFin that exploits the unique temperature effect inversion (TEI) property of a FinFET based multicore platform, where processing speed increases with temperature, in the context of approximate real-time computing. With an objective to maximize the QoS for a FinFET based multicore system, MAFin, our proposed real-time scheduler, first derives a task-to-core allocation while respecting system-wide constraints and prepares a schedule. During execution, MAFin further increases the achieved QoS by exploiting TEI property of FinFET based processors while balancing the performance and temperature and respects the imposed constraints on-the-fly by incorporating a prudential temperature cognizant frequency management mechanism.
Event Type
Research Manuscript
TimeTuesday, June 2511:00am - 11:15am PDT
Location3004, 3rd Floor
Embedded Systems
Embedded System Design Tools and Methodologies