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Dynamic power management techniques in multi-core architectures: A survey study.

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Title: Dynamic power management techniques in multi-core architectures: A survey study.
Authors: Attia, Khaled M.1 khaled.m.attia@mans.edu.eg, El-Hosseini, Mostafa A.1 melhosseini@mans.edu.eg, Ali, Hesham A.1 h_arafat_ali@mans.edu.eg
Source: Ain Shams Engineering Journal. Sep2017, Vol. 8 Issue 3, p445-456. 12p.
Subjects: Multicore processors, Energy management, Computer architecture, Microprocessor energy consumption, Energy consumption
Abstract: Multi-core processors support all modern electronic devices nowadays. However, power management is one of the most critical issues in the design of today’s microprocessors. The goal of power management is to maximize performance within a given power budget. Power management techniques must balance between the demanding needs for higher performance/throughput and the impact of aggressive power consumption and negative thermal effects. Many techniques have been proposed in this area, and some of them have been implemented such as the well-known DVFS technique which is used in nearly all modern microprocessors. This paper explores the concepts of multi-core, trending research areas in the field of multi-core processors and then concentrates on power management issues in multi-core architectures. The main objective of this paper is to survey and discuss the current power management techniques. Moreover, it proposes a new technique for power management in multi-core processors based on that survey. [ABSTRACT FROM AUTHOR]
Copyright of Ain Shams Engineering Journal is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Ain+Shams+Engineering+Journal%22">Ain Shams Engineering Journal</searchLink>. Sep2017, Vol. 8 Issue 3, p445-456. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Multicore+processors%22">Multicore processors</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+management%22">Energy management</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+architecture%22">Computer architecture</searchLink><br /><searchLink fieldCode="DE" term="%22Microprocessor+energy+consumption%22">Microprocessor energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink>
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  Data: Multi-core processors support all modern electronic devices nowadays. However, power management is one of the most critical issues in the design of today’s microprocessors. The goal of power management is to maximize performance within a given power budget. Power management techniques must balance between the demanding needs for higher performance/throughput and the impact of aggressive power consumption and negative thermal effects. Many techniques have been proposed in this area, and some of them have been implemented such as the well-known DVFS technique which is used in nearly all modern microprocessors. This paper explores the concepts of multi-core, trending research areas in the field of multi-core processors and then concentrates on power management issues in multi-core architectures. The main objective of this paper is to survey and discuss the current power management techniques. Moreover, it proposes a new technique for power management in multi-core processors based on that survey. [ABSTRACT FROM AUTHOR]
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  Label:
  Group: Ab
  Data: <i>Copyright of Ain Shams Engineering Journal is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Sep2017
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