This work introduces two adaptive techniques to reduce the energy consumption of the computing clusters through power and resource management on multi-core ...
In this work, we present two adaptive management tech- niques for multi-threaded workloads to improve the energy efficiency of multi-core servers under power ...
Adaptive Power and Resource Management Techniques for ... - dblp
dblp.org › conf › ipps › HankendiC13
Can Hankendi, Ayse K. Coskun: Adaptive Power and Resource Management Techniques for Multi-threaded Workloads. IPDPS Workshops 2013: 2302-2305.
This thesis proposes adaptive runtime power and resource management techniques on multi-core systems. It demonstrates that taking the multi-threaded workload.
It demonstrates that taking the multi-threaded workload characteristics into account during management significantly improves the energy efficiency of the ...
Adaptive power and resource management techniques for multi-threaded workloads. C Hankendi, AK Coskun. 2013 IEEE International Symposium on Parallel & ...
In this context, power capping is an approach that aims at ensuring that the power consumption of a system does not over- come a predeined threshold. Although ...
This work presents a novel power capping technique to constrain the power consumption of computing nodes, and introduces an autonomous resource management ...
Power capping in computer clusters enables energy budgeting, efficient power delivery, and management of operational and cooling costs.
This thesis proposes adaptive techniques, in the sense of reacting to workload changes, for resource management in the memory system with the goal of increasing ...