Dept. of Math., Stat. Comput. Sci., St. Francis Xavier Univ., Antigonish, NS, Canada;
learning (artificial intelligence); multiprocessing systems; power aware computing; real-time systems; dynamic voltage and frequency scaling; learning-based DVFS technique selection; multicore processor; multicore real-time system; reinforcement learning-based method; system level energy management; unicore processor; Energy consumption; Heuristic algorithms; Multicore processing; Power demand; Program processors; Real-time systems; Vehicle dynamics; Dynamic voltage and frequency scaling; Energy efficiency; Machine;
机译:使用机器学习的多核实时系统的任务意识混合DVFS
机译:通过基于机器学习的异常检测技术实时识别供水系统的网络物理攻击
机译:基于遗传算法的实时调度系统学习偏好选择机制
机译:基于DVFS技术选择和多核实时系统的频率缩放的框架
机译:具有可重定位处理元素模型的基于系统级平台的多核片上系统仿真框架。
机译:具有学习性能的学习型动态电压和频率缩放方案适用于单核和多核嵌入式和移动系统
机译:具有可调节性能的学习动态电压和频率缩放方案,用于单核和多核嵌入式和移动系统的可调节性能