Dynamic power management for portable systems
Dynamic power management techniques in multi-core
The idea of using dynamic voltage and frequency scaling in power management in microprocessor systems was originally invented by Weiser et al. in 1996 [16]. The power consumption is mainly governed by the following equation: (1) P = CV 2 F where P is the power, C is the switching capacitance, V is the supplied voltage and F is the working
Battery-driven dynamic power management of portable systems
This work introduces dynamic power management (DPM) policies specifically tailored to battery-powered systems, and strives to enhance life-time by automatically adapting discharge rate and current profiles to battery state-of-charge. Battery life-time extension is a primary design objective for portable systems. Traditionally, battery life-time has been
Battery-Driven Dynamic Power Management of Portable Systems
Dynamic power management is a design methodology aiming at controlling performance and power levels of digital circuits and systems, with the goal of extending the autonomous operation time of
Dynamic voltage scaling and power management for portable systems
Portable systems require long battery lifetime while still delivering high performance. Dynamic voltage scaling (DVS) algorithms reduce energy consumption by changing processor speed and voltage at run time depending on the needs of the applications running. Dynamic power management (DPM) policies trade off the performance for the power
Dynamic Power Management for Portable Hybrid Power-Supply Systems
Recently, the optimization of power flows in portable hybrid power-supply systems (HPSSs) has become an important issue with the advent of a variety of mobile systems and hybrid energy technologies.
An adaptive dynamic power management prediction strategy of DSP
Abstract: In order to reduce CPU power consumption in portable systems, DPM (Dynamic Power Management) techniques is commonly used in the CPU low power design. This paper analyzes the time-out, prediction and random strategy of DPM, proposed an adaptive prediction-correction strategy, which makes up the deficiencies of the current prediction algorithm, that the
Dynamic Power Management in Large Manycore Systems: A
In this article, we propose a novel learning-to-search (L2S) framework to automatically construct high-quality expert DPM policies for any desired power-performance-thermal tradeoff. The key and significant advantage of L2S over prior ML methods including RL and IL is that it provides a design automation view for DPM: The designer specifies the
Dynamic voltage scaling and power management for portable systems
This work extends the DPM model with a DVS algorithm, thus enabling larger power savings, and test the approach on MPEG video and MP3 audio algorithms running on the SmartBadge portable device. Portable systems require long battery lifetime while still delivering high performance. Dynamic voltage scaling (DVS) algorithms reduce energy consumption by
Dynamic power management for portable systems
Dynamic power management for portable systems. Peter Glynn. 2000. See full PDF download Download PDF. Related papers. Battery-driven dynamic power management. Riccardo Scarsi. IEEE Design & Test of Computers, 2001. download
Event-driven power management of portable systems
The policy optimization problem for dynamic power management has received considerable attention in the recent past. We formulate policy optimization as a constrained optimization problem on continuous-time semi-Markov decision processes (SMDP). SMDPs generalize the stochastic optimization approach based on discrete-time Markov decision processes (DTMDP)
Dynamic Power Management for Portable Systems
Portable systems require long battery lifetime while still delivering high performance. Dynamic power management (DPM) policies trade off the performance for the power con- sumption at the system level in portable devices. In this work we present
Dynamic power management for portable systems
Portable systems require long battery lifetime while still delivering high performance. Dynamic power management (DPM) policies trade off the performance for the power consumption at the system level in portable devices. In this work we present the time-indexed SMDP model (TISMDP) that we use to derive optimal policy for DPM in portable systems.
A Reinforcement Learning Framework For Dynamic Power Management
Dynamic power management schemes (also called policies) reduce the power consumption of complex electronic systems by trading off performance for power in a controlled fashion, taking system
A survey of design techniques for system-level dynamic
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, VOL. 8, NO. 3, JUNE 2000 299 A Survey of Design Techniques for System-Level Dynamic Power Management Luca Benini, Member, IEEE, Alessandro Bogliolo, Member, IEEE, and Giovanni De Micheli, Fellow, IEEE Abstract—Dynamic power management (DPM) is a design
[PDF] A Reinforcement Learning Framework for Dynamic Power Management
This paper presents a Reinforcement Learning (RL) based DPM technique for a portable, multi-camera traffic monitoring system that significantly reduces the power consumption and keeping the system response to a desired level. Dynamic Power Management (DPM) refers to a set of strategies that achieves efficient power consumption by selectively turning off (or
Battery-Driven Dynamic Power Management of Portable
the average power dissipated by the whole system consists of shutting down the resources during their periods of in- activity. In other words, one can adopt a dynamic power management (DPM) policy that dictates how and when the various components should be shut down according to the system workload.
Dynamic Management of Power Consumption | SpringerLink
Dynamic power management (DPM) algorithms aim to reduce the power consumption at the system level by selectively placing components into low-power states. A new event-driven power management algorithm that guarantees globally optimal decisions is presented that is based on Time-Indexed Semi-Markov Decision Process model (TISMDP). TISMDP power
Dynamic voltage scaling and power management for portable systems
Dynamic Voltage Scaling and Power Management for Portable Systems Tajana Simunic Luca Benini Andrea Acquaviva Peter Glynn† Giovanni De Micheli † Management Science and Computer Systems DEIS Engineering Department Laboratory University of Bologna Stanford University Stanford University ABSTRACT Portable systems require long battery lifetime while
Dynamic power management framework for multi-core portable embedded system
A. Merkel, F. Bellosa, and A. Weissel. Event-Driven Thermal Management in SMP Systems. In Second Workshop on Temperature-Aware Computer Systems (TACS''05), June 2005. Google Scholar; Brock, B. and K. Rajamani, Dynamic Power Management for Embedded Systems, in IEEE International SOC Conference. 2003: Portland, Oregon. Google Scholar
Dynamic voltage scaling and power management for portable systems
Portable systems require long battery lifetime while still delivering high performance. Dynamic voltage scaling (DVS) algorithms reduce energy consumption by changing processor speed and voltage
Online strategies for dynamic power management in systems with
Online dynamic power management (DPM) strategies refer to strategies that attempt to make power-mode-related decisions based on information available at runtime. Dynamic power management of portable systems. In Proceedings of MOBICOM. Crossref. Google Scholar [9] Hwang, C.-H., Allen, C., and Wu, H. 1996. A predictive system shutdown method
Battery-driven dynamic power management of portable systems
Portable systems require long battery lifetime while still delivering high performance. Dynamic power management (DPM) policies trade off the performance for the power consumption at the system level in portable devices. In this work we present the time-...
Dynamic power management for faster, more efficient battery
Dynamic power management for faster, more efficient battery charging Introduction With the fast-growing demand for emerging portable devices such as tablets and smartphones, there are many new challenges in improving battery-operated system per-formance. The battery-management system must be intel-
[PDF] System-level dynamic power management
This work introduces the design methodology known as dynamic power management (DPM), targeting the maximization of power efficiency under performance constraints for electronic systems, and provides guidelines to assessing the potential impact of a DPM scheme for a given target system. We introduce the design methodology known as
Dynamic Power Management of Portable Systems
Portable systems require long battery lifetime while still delivering high performance. Dynamic power management (DPM) policies trade off the performance for the power consumption at the system level in portable devices. In this work we present the time-indexed SMDP model (TISMDP) that we use to derive optimal policy for DPM in portable systems
Dynamic power management framework for multi-core portable embedded system
Request PDF | Dynamic power management framework for multi-core portable embedded system | In this paper we introduce dynamic power management framework for multi-core embedded system. This is a
Dynamic voltage scaling and power management for portable systems
Dynamic power management (DPM) policies trade off the performance for the power consumption by selectively placing components into low-power states. "Dynamic Power Management for Portable Systems", The 6th International Conference on Mobile Computing and Networking, pp. 22-32, 2000.]] Digital Library. Google Scholar [4] L. Geppert, T. Perry
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