经典mcelece编码器的内存加速

Karthikeyan Nagarajan, Sina Sayyah Ensan, S. Mandal, Swaroop Ghosh, A. Chattopadhyay
{"title":"经典mcelece编码器的内存加速","authors":"Karthikeyan Nagarajan, Sina Sayyah Ensan, S. Mandal, Swaroop Ghosh, A. Chattopadhyay","doi":"10.1109/ISVLSI.2019.00098","DOIUrl":null,"url":null,"abstract":"Asymmetric code-based crypto-systems have been developed in the last decade due to rapid evolution of quantum computing that can potentially compromise RSA and ECC based crypto-systems. The McEliece crypto-system based on the general decoding problem is one of the front runner candidates for post-quantum cryptography but the energy-efficiency is limited by the heavy data traffic between the processing elements and the memory. In memory-computing (IMC) architectures can remove the energy-efficiency barriers posed by Von-Neumann computing due to movement of data between the processor and the memory. Emerging non-volatile memories (NVM) such as, Resistive RAM (ReRAM) implemented in a crossbar array are promising substrates to realize IMC due to excellent High Resistance State (HRS) to Low Resistance State (LRS) ratios and high-densities. Therefore, McEliece can be benefited substantially by in-memory acceleration. We propose, iMACE, a high performance and area-efficient hardware implementation of the core encoding function of McEliece by exploiting ReRAM-based IMC. Simulation results show 18.8X-94X better throughput and 46%-97% reduction in energy consumption compared to the FPGA-based implementation.","PeriodicalId":6703,"journal":{"name":"2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)","volume":"122 1","pages":"513-518"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"iMACE: In-Memory Acceleration of Classic McEliece Encoder\",\"authors\":\"Karthikeyan Nagarajan, Sina Sayyah Ensan, S. Mandal, Swaroop Ghosh, A. Chattopadhyay\",\"doi\":\"10.1109/ISVLSI.2019.00098\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Asymmetric code-based crypto-systems have been developed in the last decade due to rapid evolution of quantum computing that can potentially compromise RSA and ECC based crypto-systems. The McEliece crypto-system based on the general decoding problem is one of the front runner candidates for post-quantum cryptography but the energy-efficiency is limited by the heavy data traffic between the processing elements and the memory. In memory-computing (IMC) architectures can remove the energy-efficiency barriers posed by Von-Neumann computing due to movement of data between the processor and the memory. Emerging non-volatile memories (NVM) such as, Resistive RAM (ReRAM) implemented in a crossbar array are promising substrates to realize IMC due to excellent High Resistance State (HRS) to Low Resistance State (LRS) ratios and high-densities. Therefore, McEliece can be benefited substantially by in-memory acceleration. We propose, iMACE, a high performance and area-efficient hardware implementation of the core encoding function of McEliece by exploiting ReRAM-based IMC. Simulation results show 18.8X-94X better throughput and 46%-97% reduction in energy consumption compared to the FPGA-based implementation.\",\"PeriodicalId\":6703,\"journal\":{\"name\":\"2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)\",\"volume\":\"122 1\",\"pages\":\"513-518\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISVLSI.2019.00098\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISVLSI.2019.00098","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

由于量子计算的快速发展,基于非对称代码的加密系统在过去十年中得到了发展,这可能会危及基于RSA和ECC的加密系统。基于通用解码问题的McEliece密码系统是后量子密码技术的热门候选方案之一,但由于处理单元和存储器之间的数据流量大,其能效受到限制。在内存计算(IMC)体系结构中,由于数据在处理器和存储器之间的移动,可以消除冯-诺伊曼计算所带来的能效障碍。新兴的非易失性存储器(NVM),如在交叉棒阵列中实现的电阻性RAM (ReRAM),由于其优异的高电阻状态(HRS)与低电阻状态(LRS)比和高密度,是实现IMC的有前途的衬底。因此,McEliece可以从内存加速中获益。我们利用基于reram的IMC,提出了McEliece核心编码功能的高性能、面积高效的硬件实现iMACE。仿真结果表明,与基于fpga的实现相比,吞吐量提高18.8X-94X,能耗降低46%-97%。
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
iMACE: In-Memory Acceleration of Classic McEliece Encoder
Asymmetric code-based crypto-systems have been developed in the last decade due to rapid evolution of quantum computing that can potentially compromise RSA and ECC based crypto-systems. The McEliece crypto-system based on the general decoding problem is one of the front runner candidates for post-quantum cryptography but the energy-efficiency is limited by the heavy data traffic between the processing elements and the memory. In memory-computing (IMC) architectures can remove the energy-efficiency barriers posed by Von-Neumann computing due to movement of data between the processor and the memory. Emerging non-volatile memories (NVM) such as, Resistive RAM (ReRAM) implemented in a crossbar array are promising substrates to realize IMC due to excellent High Resistance State (HRS) to Low Resistance State (LRS) ratios and high-densities. Therefore, McEliece can be benefited substantially by in-memory acceleration. We propose, iMACE, a high performance and area-efficient hardware implementation of the core encoding function of McEliece by exploiting ReRAM-based IMC. Simulation results show 18.8X-94X better throughput and 46%-97% reduction in energy consumption compared to the FPGA-based implementation.
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
Ferroelectric FET Based TCAM Designs for Energy Efficient Computing Evaluation of Compilers Effects on OpenMP Soft Error Resiliency Towards Efficient Compact Network Training on Edge-Devices PageCmp: Bandwidth Efficient Page Deduplication through In-memory Page Comparison Improving Logic Optimization in Sequential Circuits using Majority-inverter Graphs
×
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