Power-efficiency study using SPECjEnterprise2010

Oi, Hitoshi; Niboshi, Sho

doi:10.1109/syscon.2013.6549977

Cited by 4 publications

(1 citation statement)

References 14 publications

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“…About using benchmark, Oi and Niboshi [14] made a study using two different CPUs and platforms. They did, in particular, a power measure for individual instruction and complete workload level.…”

Section: Related Workmentioning

confidence: 99%

Energy consumption model over parallel programs implemented on multicore architectures

Isidro-Ramirez¹,

Viveros²,

Hernández-Rubio³

2015

ijacsa

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Abstract-In High Performance Computing, energy consumption is becoming an important aspect to consider. Due to the high costs that represent energy production in all countries it holds an important role and it seek to find ways to save energy. It is reflected in some efforts to reduce the energy requirements of hardware components and applications. Some options have been appearing in order to scale down energy use and, consequently, scale up energy efficiency. One of these strategies is the multithread programming paradigm, whose purpose is to produce parallel programs able to use the full amount of computing resources available in a microprocessor. That energy saving strategy focuses on efficient use of multicore processors that are found in various computing devices, like mobile devices. Actually, as a growing trend, multicore processors are found as part of various specific purpose computers since 2003, from High Performance Computing servers to mobile devices. However, it is not clear how multiprogramming affects energy efficiency. This paper presents an analysis of different types of multicorebased architectures used in computing, and then a valid model is presented. Based on Amdahl's Law, a model that considers different scenarios of energy use in multicore architectures it is proposed. Some interesting results were found from experiments with the developed algorithm, that it was execute of a parallel and sequential way. A lower limit of energy consumption was found in a type of multicore architecture and this behavior was observed experimentally.

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Section: Related Workmentioning

confidence: 99%