Optimizing architecture activity and logic depth for static and dynamic power reduction

Buyya

Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07)

2007

253

155

Section: Energy Modelmentioning

confidence: 99%

Power Aware Scheduling of Bag-of-Tasks Applications with Deadline Constraints on DVS-enabled Clusters

Buyya

Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07)

2007

253

155

2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical A

“…Note that the power depends on the machine characteristics (V , f and C) and the program (A). As in other previous work [14], [16], [17], we assume that P dynamic is proportional to P static , in other words, P static = k × P dynamic and power consumption can be expressed as P = (k + 1) × P dynamic .…”

Section: A Power Ratios Computationmentioning

confidence: 99%

“…Moreover, Piguet et al showed that k is in fact program independent [16]. Thus, ratios of power consumption induced by a single program running at two frequencies are program independent.…”

Section: A Power Ratios Computationmentioning

confidence: 99%

Reactive DVFS Control for Multicore Processors

Halimi

Pradelle

Guermouche

et al. 2013

Several solutions are considered to reduce energy consumption of computers. Among them, Dynamic Voltage and Frequency Scaling (DVFS) emerged as an effective way to enhance energy efficiency by adapting processor frequency to workloads.We propose FoREST, a new DVFS controller designed to efficiently exploit the recent technologies introduced in processors. FoREST is a runtime DVFS controller able to estimate the energy savings it can achieve from power gains, evaluated offline using power probes embedded in modern CPUs, and speedups measured at runtime for the current workload. It does not use any performance model but rather directly measures the effect of frequency transitions on energy. Using such methodology, FoREST can achieve energy savings on the whole system under user-defined slowdown constraints.In our experiments, FoREST is able to achieve more than 39% CPU energy savings compared to the default Linux DVFS controller, with a slowdown below 5%, as requested by the user.

Section: Dvs-based Cluster Systemsmentioning

confidence: 99%

SLA-Based Scheduling of Bag-of-Tasks Applications on Power-Aware Cluster Systems

Lee

IEICE Trans. Inf. & Syst.

et al. 2010

SUMMARYPower-aware scheduling problem has been a recent issue in cluster systems not only for operational cost due to electricity cost, but also for system reliability. In this paper, we provide SLA-based scheduling algorithms for bag-of-tasks applications with deadline constraints on power-aware cluster systems. The scheduling objective is to minimize power consumption as long as the system provides the service levels of users. A bag-of-tasks application should finish all the sub-tasks before the deadline as the service level. We provide the power-aware scheduling algorithms for both time-shared and space-shared resource sharing policies. The simulation results show that the proposed algorithms reduce much power consumption compared to static voltage schemes.