Energy characterization of mobile devices and applications using power–thermal benchmarks

Marcu, Marius; Tudor, Dacian; Moldovan, H.; Fuicu, Sebastian; Popa, M.

doi:10.1016/j.mejo.2008.05.001

Cited by 3 publications

(2 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Marcu et al (2009), the authors proposed different frameworks for providing energy and thermal profiles. In Hu et al (2005), the authors proposed solutions to reduce the time required to estimate the energy cost of long code segments using clustering techniques.…”

Section: Overview Of Energy Measurement Techniquesmentioning

confidence: 99%

An energy-aware design methodology based on kernel optimisations

Dabbagh

Hajj

El-Hajj

et al. 2014

IJAACS

View full text Add to dashboard Cite

The goal of this paper is to present a design methodology for developing energy aware algorithms. The key idea revolves around identifying operations called kernels, which are frequently used operations in the algorithm that can be implemented in hardware. Optimising these kernels for performance or energy would then lead to a major impact in energy saving. We propose a six-step methodology for design of energy aware algorithms. The method includes: high-level algorithm analysis, identifying high frequency kernels, determining the order of computation for each kernel via asymptotic analysis, prioritising kernels in terms of energy impact, proposing alternative implementations to the kernels that cause high energy consumption and investigating further opportunities for energy optimisation specific to the studied algorithm. We further propose a simple and efficient method for estimating a kernel's energy cost. The method was successfully tested with back-propagation (BP) neural network algorithm to identify the kernels targeted for energy optimisation. Based on the findings, we proposed several custom changes to the BP algorithms for lower energy alternatives to kernels, including options that trade off computational accuracy for higher energy saving.

show abstract

Section: Overview Of Energy Measurement Techniquesmentioning

confidence: 99%

An energy-aware design methodology based on kernel optimisations

Dabbagh

Hajj

El-Hajj

et al. 2014

IJAACS

View full text Add to dashboard Cite

show abstract

“…However, it is less accurate than the physical measurements but it is a good solution when the special equipments and boards of a certain architecture aren't available. Researchers have also proposed different frameworks for providing energy and thermal profiles [17] or to reduce the time that is required to estimate the energy cost of a long code [18]. But none of the previous work, to the best of our knowledge, has targeted estimating the energy of the kernels for the algorithms.…”

Section: Related Workmentioning

confidence: 99%

An approach to measuring kernel energy in software applications

Dabbagh

Hajj

El-Hajj

2011

2011 International Conference on Energy Aware Computing

View full text Add to dashboard Cite

The large widespread of mobile devices and the increasing demand for high performance has made energy an important constraint in computer's technology. In this paper, we propose a simple software methodology that can be adapted by researchers to estimate the energy cost of kernels. Kernels are operations that can be implemented in hardware and are executed frequently in algorithms. This energy estimation helps in exploiting opportunities for energy optimizations in various algorithms. As a case study, we apply our methodology on back propagation (BP) algorithm and we estimate the energy cost of its kernels on two different architectures using: a) Simulation tools for the RISC architecture b) Physical measurement of the current and voltage using special boards for the CISC architecture. Our experiments show that the produced energy costs using our method have 5.14% error with respect to the costs of these kernels in real codes, which proves the high accuracy of our methodology. The results also show that different architectures exhibit different energy consumption when executing the same kernel which proves that alternative kernel implementations have impact on energy saving. Based on the estimated energy costs of the kernels, we further propose an energy optimization technique by using lookup tables (LUT). The proposed technique targets the exponential kernel because of its high energy consumption and replaces it with a LUT. The experimental results show a significant reduction of 99.97% in the energy consumed by the exponential kernel.

show abstract

Power–thermal profiling of software applications

Marcu

2011

Microelectronics Journal

View full text Add to dashboard Cite

Energy characterization of mobile devices and applications using power–thermal benchmarks

Cited by 3 publications

References 10 publications

An energy-aware design methodology based on kernel optimisations

An energy-aware design methodology based on kernel optimisations

An approach to measuring kernel energy in software applications

Power–thermal profiling of software applications

Contact Info

Product

Resources

About