Sep 13, 2023 � This paper proposes DeepPower, a deep reinforcement learning (DRL) based power management solution for LC applications. DeepPower comprises two�...
In this paper, we propose DeepPower, a Deep Reinforcement Learning (DRL) based hierarchical control power management framework for latency-critical applications�...
Apr 25, 2024 � DeepPower: Deep Reinforcement Learning based Power Management for Latency Critical Applications in Multi-core Systems. ICPP 2023: 327-336�...
Publications (3). DeepPower: Deep Reinforcement Learning based Power Management for Latency Critical Applications in Multi-core Systems � Conference Paper.
DeepPower: Deep Reinforcement Learning based Power Management for Latency Critical Applications in Multi-core Systems. Jingrun Zhang, Guangba Yu, Zilong He�...
This paper presents a novel approach for runtime power optimization on modern multi-core systems. Our policy combines power capping and uncore frequency scaling�...
Multicore systems have become the de facto computing platform for electronic systems, especially since 2005 when the single-core/thread performance hit.
This paper presents a hierarchical dynamic power management (DPM) framework based on reinforcement learning (RL) technique, which aims at power savings in a�...
This paper presents a hierarchical dynamic power management (DPM) framework based on reinforcement learning (RL) technique, which aims at power savings in a�...
Power management through dynamic voltage and frequency scaling (DVFS) is one of the most widely adopted techniques.
Missing: DeepPower: | Show results with:DeepPower: