R. Liu, Xiaoyu Zhang, Xiaoming Chen, Yinhe Han, M. Tang
{"title":"FeMIC: Multi-Operands in-Memory Computing Based on FeFETs","authors":"R. Liu, Xiaoyu Zhang, Xiaoming Chen, Yinhe Han, M. Tang","doi":"10.1109/ASP-DAC52403.2022.9712498","DOIUrl":null,"url":null,"abstract":"The “memory wall” bottleneck caused by the performance gap between processors and memories is getting worse. Computing-in-memory (CiM), a promising technology to alleviate the “memory wall” bottleneck, has recently attracted much attention. Conventional CiM architectures based on emerging nonvolatile devices have a major drawback that they need ${N\\,-\\,1}$ clock cycles to complete a CiM operation with ${N}$ operands, as they are natively designed for processing two operands. In this work, we propose FeMIC, a new CiM architecture based on ferroelectric field-effect transistors (FeFETs), which natively supports the computation of multiple operands. For a CiM operation with ${N}$ operands, FeMIC only needs $\\left\\lfloor {N/2} \\right\\rfloor$ clock cycles. The simulation results based on a calibrated FeFET model reveal that FeMIC can significantly reduce the energy consumption when processing multi-operand CiM operations, compared with state-of-the-arts that use conventional CiM mechanisms.","PeriodicalId":239260,"journal":{"name":"2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASP-DAC52403.2022.9712498","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The “memory wall” bottleneck caused by the performance gap between processors and memories is getting worse. Computing-in-memory (CiM), a promising technology to alleviate the “memory wall” bottleneck, has recently attracted much attention. Conventional CiM architectures based on emerging nonvolatile devices have a major drawback that they need ${N\,-\,1}$ clock cycles to complete a CiM operation with ${N}$ operands, as they are natively designed for processing two operands. In this work, we propose FeMIC, a new CiM architecture based on ferroelectric field-effect transistors (FeFETs), which natively supports the computation of multiple operands. For a CiM operation with ${N}$ operands, FeMIC only needs $\left\lfloor {N/2} \right\rfloor$ clock cycles. The simulation results based on a calibrated FeFET model reveal that FeMIC can significantly reduce the energy consumption when processing multi-operand CiM operations, compared with state-of-the-arts that use conventional CiM mechanisms.