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IEEE Recommended Practice for Developing Energy-Efficient Power-Proportional Digital Architectures
IEEE Std 1924.1-2022
Year: 2022
Abstract: A set of guidelines is presented in this recommended practice for the development of energy-efficient and power-proportional digital architectures so that energy is only consumed when computations are under way and energy is reduced in the non-operating state. The purpose of this practice is to provide guidelines for the designers and developers of digital architectures for creating power-proportionality at different levels of the system.
Subject: hardware accelerators
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IEEE Recommended Practice for Developing Energy-Efficient Power-Proportional Digital Architectures
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| contributor author | IEEE - The Institute of Electrical and Electronics Engineers, Inc. | |
| date accessioned | 2023-08-07T18:46:36Z | |
| date available | 2023-08-07T18:46:36Z | |
| date copyright | 30 November 2022 | |
| date issued | 2022 | |
| identifier other | 9968219.pdf | |
| identifier uri | http://yse.yabesh.ir/std;quessioutho4703177793325273135A68A10958014A0F/handle/yse/329606 | |
| description abstract | A set of guidelines is presented in this recommended practice for the development of energy-efficient and power-proportional digital architectures so that energy is only consumed when computations are under way and energy is reduced in the non-operating state. The purpose of this practice is to provide guidelines for the designers and developers of digital architectures for creating power-proportionality at different levels of the system. | |
| language | English | |
| title | IEEE Recommended Practice for Developing Energy-Efficient Power-Proportional Digital Architectures | en |
| title | IEEE Std 1924.1-2022 | num |
| type | Standard | |
| page | 65 | |
| tree | IEEE - The Institute of Electrical and Electronics Engineers, Inc.:;2022 | |
| contenttype | Fulltext | |
| subject keywords | hardware accelerators | |
| subject keywords | digital circuits | |
| subject keywords | IEEE 1924.1 | |
| subject keywords | machine learning assisted design | |
| subject keywords | Internet of Things | |
| subject keywords | energy efficiency | |
| subject keywords | servers | |
| subject keywords | power-proportional | |
| subject keywords | sensors | |
| subject keywords | on-chip power distribution networks | |
| subject keywords | energy efficient architectures | |
| subject keywords | on-chip memory | |
| subject keywords | interconnects | |
| subject keywords | processors | |
| identifier DOI | 10.1109/IEEESTD.2022.9968219 |