Energy-Efficient QoS-Aware Scheduling for S-NUCA Many-Cores
Journal:
arXiv
Published Date:
May 29, 2025
Abstract
Optimizing performance and energy efficiency in many-core processors,
especially within Non-Uniform Cache Access (NUCA) architectures, remains a
critical challenge. The performance heterogeneity inherent in S-NUCA systems
complicates task scheduling due to varying cache access latencies across cores.
This paper introduces a novel QoS management policy to maintain application
execution within predefined Quality of Service (QoS) targets, measured using
the Application Heartbeats framework. QoS metrics like Heartbeats ensure
predictable application performance in dynamic computing environments. The
proposed policy dynamically controls QoS by orchestrating task migrations
within the S-NUCA many-core system and adjusting the clock frequency of cores.
After satisfying the QoS objectives, the policy optimizes energy efficiency,
reducing overall system energy consumption without compromising performance
constraints. Our work leverages the state-of-the-art multi-/many-core simulator
{\em HotSniper}. We have extended it with two key components: an integrated
heartbeat framework for precise, application-specific performance monitoring,
and our QoS management policy that maintains application QoS requirements while
minimizing the system's energy consumption. Experimental evaluations
demonstrate that our approach effectively maintains desired QoS levels and
achieves 18.7\% energy savings compared to state-of-the-art scheduling methods.
