Title :
Adaptive Power Capping for Servers with Multithreaded Workloads
Author :
Reda, Sherief ; Cochran, Ryan ; Coskun, Ayse K.
Abstract :
Power capping in computer clusters enables energy budgeting, efficient power delivery, and management of operational and cooling costs. Pack and Cap is a novel, practical methodology to select thread packing and dynamic voltage and frequency scaling (DVFS) configurations by learning multithreaded workload characteristics and adapting to dynamic-power caps. Pack and Cap improves energy efficiency and achievable range of power caps.
Keywords :
file servers; multi-threading; power aware computing; DVFS configuration; adaptive power capping; computer cluster; dynamic voltage and frequency scaling; multithreaded workload; pack-and-cap methodology; Benchmark testing; Energy efficiency; Instruction sets; Multicore processing; Power demand; Power measurement; Power system management; Runtime; Servers; Pack and Cap; adaptive computing; energy efficiency; power management; thread packing;
Journal_Title :
Micro, IEEE
