IEICE TRANSACTIONS on Fundamentals
A Performance/Energy Analysis and Optimization of Multi-Core Architectures with Voltage Scaling Techniques
Summary :
In this paper, we develop asymptotic analysis and simulation models to better understand the characteristics of performance and energy consumption in a multi-core processor design in which dynamic voltage scaling is used. Our asymptotic model is derived using Amdahl's law, Rent's rule and power equations to derive the optimum number of cores and their voltage levels. Our model can predict the possible impact of different multi-core processor configurations on the performance and energy consumption for given workload characteristics (e.g. available parallelism) and process technology parameters (e.g. ratios of dynamic and static energies to total energy). Through the asymptotic analysis and optimization based on the models, we can observe an asymptotic relationship between design parameters such as "the number of cores," "core size" and "voltage scaling strategies" of a multi-core architecture with regards to performance and energy consumption at an initial phase of the design.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E93-A No.6 pp.1215-1225
- Publication Date
- 2010/06/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E93.A.1215
- Type of Manuscript
- PAPER
- Category
- VLSI Design Technology and CAD
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Jeong-Gun LEE, Wook SHIN, Suk-Jin KIM, Eun-Gu JUNG, "A Performance/Energy Analysis and Optimization of Multi-Core Architectures with Voltage Scaling Techniques" in IEICE TRANSACTIONS on Fundamentals,
vol. E93-A, no. 6, pp. 1215-1225, June 2010, doi: 10.1587/transfun.E93.A.1215.
Abstract: In this paper, we develop asymptotic analysis and simulation models to better understand the characteristics of performance and energy consumption in a multi-core processor design in which dynamic voltage scaling is used. Our asymptotic model is derived using Amdahl's law, Rent's rule and power equations to derive the optimum number of cores and their voltage levels. Our model can predict the possible impact of different multi-core processor configurations on the performance and energy consumption for given workload characteristics (e.g. available parallelism) and process technology parameters (e.g. ratios of dynamic and static energies to total energy). Through the asymptotic analysis and optimization based on the models, we can observe an asymptotic relationship between design parameters such as "the number of cores," "core size" and "voltage scaling strategies" of a multi-core architecture with regards to performance and energy consumption at an initial phase of the design.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E93.A.1215/_p
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@ARTICLE{e93-a_6_1215,
author={Jeong-Gun LEE, Wook SHIN, Suk-Jin KIM, Eun-Gu JUNG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Performance/Energy Analysis and Optimization of Multi-Core Architectures with Voltage Scaling Techniques},
year={2010},
volume={E93-A},
number={6},
pages={1215-1225},
abstract={In this paper, we develop asymptotic analysis and simulation models to better understand the characteristics of performance and energy consumption in a multi-core processor design in which dynamic voltage scaling is used. Our asymptotic model is derived using Amdahl's law, Rent's rule and power equations to derive the optimum number of cores and their voltage levels. Our model can predict the possible impact of different multi-core processor configurations on the performance and energy consumption for given workload characteristics (e.g. available parallelism) and process technology parameters (e.g. ratios of dynamic and static energies to total energy). Through the asymptotic analysis and optimization based on the models, we can observe an asymptotic relationship between design parameters such as "the number of cores," "core size" and "voltage scaling strategies" of a multi-core architecture with regards to performance and energy consumption at an initial phase of the design.},
keywords={},
doi={10.1587/transfun.E93.A.1215},
ISSN={1745-1337},
month={June},}
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TY - JOUR
TI - A Performance/Energy Analysis and Optimization of Multi-Core Architectures with Voltage Scaling Techniques
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1215
EP - 1225
AU - Jeong-Gun LEE
AU - Wook SHIN
AU - Suk-Jin KIM
AU - Eun-Gu JUNG
PY - 2010
DO - 10.1587/transfun.E93.A.1215
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E93-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2010
AB - In this paper, we develop asymptotic analysis and simulation models to better understand the characteristics of performance and energy consumption in a multi-core processor design in which dynamic voltage scaling is used. Our asymptotic model is derived using Amdahl's law, Rent's rule and power equations to derive the optimum number of cores and their voltage levels. Our model can predict the possible impact of different multi-core processor configurations on the performance and energy consumption for given workload characteristics (e.g. available parallelism) and process technology parameters (e.g. ratios of dynamic and static energies to total energy). Through the asymptotic analysis and optimization based on the models, we can observe an asymptotic relationship between design parameters such as "the number of cores," "core size" and "voltage scaling strategies" of a multi-core architecture with regards to performance and energy consumption at an initial phase of the design.
ER -
English
