A survey of design techniques for system-level dynamic power management
By Luca Benini, A. Bogliolo, Giovanni De Micheli. IEEE Transactions on Very Large Scale Integration (vlsi) Systems, 2000
1,347 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Hardware and Architecture
View Paper: https://www.semanticscholar.org/paper/48c3bc7db647064f3688ead0c25ed1ce23c0d6ca
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In Electrical and Electronic Engineering
- Feng-Fei Ma
- Massoud Pedram
- Pascal Bouvry
- Samee Ullah Khan
- Jiin-Chuan Wu
- Jian Tang
- Dzmitry Kliazovich
- Zhiyuan Xu
In Hardware and Architecture
Citations in the corpus
- Deriving a near-optimal power management policy using model-free reinforcement learning and Bayesian classification (2011, background): “…1080 Tunis cedex, Tunisia {yanzhiwa, xqing, pedram}@usc.edu, chiheb.ammari@insat.rnu.tn ABSTRACT To cope with the variations and uncertainties that emanate from hardware and application characteristics, dynamic power management (DPM) frameworks must be able to learn about the system inputs…”
- Software Architecture Optimization Methods: A Systematic Literature Review (2013, background): “, for reliability [99], performance [22], [134], energy consumption [27], and safety [104].”
- Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm (2005, neutral): “The Hamiltonian (in Hz) of a molecule dissolved in a uniaxial nematic liquid crystal is given by: H ¼ X l m l I Z;l þ X l<m J lm I l Á I m þ X l<m D lm ð3I Z;l I Z;m À I l Á I m Þ ð1Þ where m l is the resonance frequency of nucleus l and J lm and D lm are the indirect spin–spin and the direct…”
- A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning (2017, background): “Dynamic power management (DPM), defined as the selective shut-off or slow-down of system components that are idle or underutilized, has proven to be an effective technique for reducing power dissipation at system level [9].”
- A Monolithic Current-Mode Buck Converter With Advanced Control and Protection Circuits (2007, background): “As a result, enhancing the efficiency of power supply and management is very important to minimize the size and weight and to extend the battery run-time.”
- DENS: data center energy-efficient network-aware scheduling (2010, methodology): “The servers left by the schedulers idle are powered down using DPM technique to reduce power consumption.”