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LMM: A Fixed-Point Linear Mapping Based Approximate Multiplier for IoT

文献类型：期刊论文

作者Qian, Wei-Kang1; Chen, Ke2; Liu, Wei-Qiang2; Li, Hua-Wei3
刊名JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
出版日期2023-04-01
卷号38期号:2页码:298-308
关键词approximate computing fixed-point linear mapping multiplier Internet of Things (IoT)
ISSN号1000-9000
DOI10.1007/s11390-023-2572-8
英文摘要The development of IoT (Internet of Things) calls for circuit designs with energy and area efficiency for edge devices. Approximate computing which trades unnecessary computation precision for hardware cost savings is a promising direction for error-tolerant applications. Multipliers, as frequently invoked basic modules which consume non-trivial hardware costs, have been introduced approximation to achieve distinct energy and area savings for data-intensive applications. In this paper, we propose a fixed-point approximate multiplier that employs a linear mapping technique, which enables the configurability of approximation levels and the unbiasedness of computation errors. We then introduce a dynamic truncation method into the proposed multiplier design to cover a wider and more fine-grained configuration range of approximation for more flexible hardware cost savings. In addition, a novel normalization module is proposed for the required shifting operations, which balances the occupied area and the critical path delay compared with normal shifters. The introduced errors of our proposed design are analyzed and expressed by formulas which are validated by experimental results. Experimental evaluations show that compared with accurate multipliers, our proposed approximate multiplier design provides maximum area and power savings up to 49.70% and 66.39% respectively with acceptable computation errors.
WOS研究方向Computer Science
语种英语
WOS记录号WOS:001017832400007
出版者SPRINGER SINGAPORE PTE LTD
源URL[http://119.78.100.204/handle/2XEOYT63/21305]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Qian, Wei-Kang
作者单位1.Shanghai Jiao Tong Univ, Univ Michigan Shanghai Jiao Tong Univ Joint Inst, Shanghai, Peoples R China
2.Nanjing Univ Aeronaut & Astronaut, Coll Elect & Informat Engn, Nanjing, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Qian, Wei-Kang,Chen, Ke,Liu, Wei-Qiang,et al. LMM: A Fixed-Point Linear Mapping Based Approximate Multiplier for IoT[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2023,38(2):298-308.
APA Qian, Wei-Kang,Chen, Ke,Liu, Wei-Qiang,&Li, Hua-Wei.(2023).LMM: A Fixed-Point Linear Mapping Based Approximate Multiplier for IoT.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,38(2),298-308.
MLA Qian, Wei-Kang,et al."LMM: A Fixed-Point Linear Mapping Based Approximate Multiplier for IoT".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 38.2(2023):298-308.

入库方式： OAI收割

来源：计算技术研究所

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