基于位线电荷共享模数转换的低成本7T-SRAM内存计算设计

Kyeongho Lee, Joonhyung Kim, J. Park
{"title":"基于位线电荷共享模数转换的低成本7T-SRAM内存计算设计","authors":"Kyeongho Lee, Joonhyung Kim, J. Park","doi":"10.1145/3508352.3549423","DOIUrl":null,"url":null,"abstract":"Although compute-in-memory (CIM) is considered as one of the promising solutions to overcome memory wall problem, the variations in analog voltage computation and analog-to-digital-converter (ADC) cost still remain as design challenges. In this paper, we present a 7T SRAM CIM that seamlessly supports multiply-accumulation (MAC) operation between 4-bit inputs and 8-bit weights. In the proposed CIM, highly parallel and robust MAC operations are enabled by exploiting the bit-line charge-sharing scheme to simultaneously process multiple inputs. For the readout of analog MAC values, instead of adopting the conventional ADC structure, the bit-line charge-sharing is efficiently used to reduce the implementation cost of the reference voltage generations. Based on the in-SRAM reference voltage generation and the parallel analog readout in all columns, the proposed CIM efficiently reduces ADC power and area cost. In addition, the variation models from Monte-Carlo simulations are also used during training to reduce the accuracy drop due to process variations. The implementation of 256×64 7T SRAM CIM using 28nm CMOS process shows that it operates in the wide voltage range from 0.6V to 1.2V with energy efficiency of 45.8-TOPS/W at 0.6V.","PeriodicalId":270592,"journal":{"name":"2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Low-Cost 7T-SRAM Compute-In-Memory Design based on Bit-Line Charge-Sharing based Analog-To-Digital Conversion\",\"authors\":\"Kyeongho Lee, Joonhyung Kim, J. Park\",\"doi\":\"10.1145/3508352.3549423\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Although compute-in-memory (CIM) is considered as one of the promising solutions to overcome memory wall problem, the variations in analog voltage computation and analog-to-digital-converter (ADC) cost still remain as design challenges. In this paper, we present a 7T SRAM CIM that seamlessly supports multiply-accumulation (MAC) operation between 4-bit inputs and 8-bit weights. In the proposed CIM, highly parallel and robust MAC operations are enabled by exploiting the bit-line charge-sharing scheme to simultaneously process multiple inputs. For the readout of analog MAC values, instead of adopting the conventional ADC structure, the bit-line charge-sharing is efficiently used to reduce the implementation cost of the reference voltage generations. Based on the in-SRAM reference voltage generation and the parallel analog readout in all columns, the proposed CIM efficiently reduces ADC power and area cost. In addition, the variation models from Monte-Carlo simulations are also used during training to reduce the accuracy drop due to process variations. The implementation of 256×64 7T SRAM CIM using 28nm CMOS process shows that it operates in the wide voltage range from 0.6V to 1.2V with energy efficiency of 45.8-TOPS/W at 0.6V.\",\"PeriodicalId\":270592,\"journal\":{\"name\":\"2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3508352.3549423\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3508352.3549423","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

尽管内存计算(CIM)被认为是克服存储墙问题的一种有前途的解决方案,但模拟电压计算和模数转换器(ADC)成本的变化仍然是设计上的挑战。在本文中,我们提出了一个7T SRAM CIM,无缝支持4位输入和8位权重之间的乘法累积(MAC)操作。在所提出的CIM中,通过利用位线电荷共享方案同时处理多个输入,实现了高度并行和鲁棒的MAC操作。对于模拟MAC值的读出,有效地利用位线电荷共享来降低参考电压发生器的实现成本,而不是采用传统的ADC结构。基于sram内基准电压产生和各列并行模拟读数,该CIM有效地降低了ADC的功耗和面积成本。此外,在训练过程中还使用蒙特卡罗模拟的变化模型,以减少由于过程变化而导致的精度下降。利用28nm CMOS工艺实现256×64 7T SRAM CIM,结果表明其工作电压范围为0.6V ~ 1.2V, 0.6V时的能量效率为45.8 tops /W。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Low-Cost 7T-SRAM Compute-In-Memory Design based on Bit-Line Charge-Sharing based Analog-To-Digital Conversion
Although compute-in-memory (CIM) is considered as one of the promising solutions to overcome memory wall problem, the variations in analog voltage computation and analog-to-digital-converter (ADC) cost still remain as design challenges. In this paper, we present a 7T SRAM CIM that seamlessly supports multiply-accumulation (MAC) operation between 4-bit inputs and 8-bit weights. In the proposed CIM, highly parallel and robust MAC operations are enabled by exploiting the bit-line charge-sharing scheme to simultaneously process multiple inputs. For the readout of analog MAC values, instead of adopting the conventional ADC structure, the bit-line charge-sharing is efficiently used to reduce the implementation cost of the reference voltage generations. Based on the in-SRAM reference voltage generation and the parallel analog readout in all columns, the proposed CIM efficiently reduces ADC power and area cost. In addition, the variation models from Monte-Carlo simulations are also used during training to reduce the accuracy drop due to process variations. The implementation of 256×64 7T SRAM CIM using 28nm CMOS process shows that it operates in the wide voltage range from 0.6V to 1.2V with energy efficiency of 45.8-TOPS/W at 0.6V.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Squeezing Accumulators in Binary Neural Networks for Extremely Resource-Constrained Applications Numerically-Stable and Highly-Scalable Parallel LU Factorization for Circuit Simulation Towards High Performance and Accurate BNN Inference on FPGA with Structured Fine-grained Pruning RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering Design and Technology Co-optimization Utilizing Multi-bit Flip-flop Cells
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1