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On-Line Global Energy Optimization in Multi-Core Systems Using Principles of
设计了一种基于模拟计算方法的在线能量优化器单元,用于动态调整多核芯片的电源电压和工作频率。
响应时间小于50μs,硅面积0.021mm²/任务,功耗2mW/任务
能量优化多核系统模拟计算动态调整工艺变化
▸创新点1:基于模拟计算的在线能量优化方法创新,采用新型模拟计算技术实现实时能量优化,相比传统数字方法具有更快的响应速度(<50μs)和更低功耗(2mW/task)。
▸创新点2:多核动态电压/频率调整系统创新,通过即时监测多任务工作负载,实现多处理单元电压/频率的协同优化,硅面积仅0.021mm²/task,显著提高能效比。
▸创新点3:自适应工艺和温度变化的电路创新,集成工艺/温度变化检测模块,使优化器在PVT变化下仍能保持最佳工作状态,提升系统可靠性。
▸创新点4:混合信号系统架构创新,将模拟计算的高效性与数字控制的精确性相结合,在保证优化精度的同时大幅降低系统开销。
Abstract
This work presents the design and the silicon im- plementation of an on-line energy optimizer unit based on novel analog computation approaches, which is capable of dynamically adjusting power supply voltages and operating frequencies of multiple processing elements on-chip. The optimized voltage/fre- quency assignments are tailored to the instantaneous workload information on multiple tasks and fully adaptive to variations in process and temperature. The optimizer unit has a response time of less than 50 s, occupies a silicon area of 0.021 mm /50 task and dissipates 2 mW/task.