Memory power management via dynamic voltage/frequency scaling 论文

2011引用 340
Parallel Computing and Optimization TechniquesEnergy Efficiency in ComputingNetwork Packet Processing and Optimization

摘要

Energy efficiency and energy-proportional computing have become a central focus in enterprise server architecture. As thermal and electrical constraints limit system power, and datacenter operators become more conscious of energy costs, energy efficiency becomes important across the whole system. There are many proposals to scale energy at the datacenter and server level. However, one significant component of server power, the memory system, remains largely unaddressed. We propose memory dynamic volt age/frequency scaling (DVFS) to address this problem, and evaluate a simple algorithm in a real system.