{"title":"高效节能SARS-CoV-2基因组测序的内存3D NAND闪存超维计算引擎","authors":"Po-Kai Hsu, Shimeng Yu","doi":"10.1109/IMW52921.2022.9779291","DOIUrl":null,"url":null,"abstract":"Hyperdimensional computing (HDC) is a promising paradigm for large-scale genome sequencing. In this work, we explore the feasibility of the in-memory HDC on 3D NAND Flash for genome sequencing. We investigate the HDC engine with geographical region classification of SARS-CoV-2 genome sequences. The simulation results indicate the robustness of the classification accuracy despite the 3D NAND Flash non-idealities. The system performance is evaluated and it achieves 1.21× improvement on energy efficiency compared to PCM-based HDC engine. The area efficiency is also improved by 3.79×.","PeriodicalId":132074,"journal":{"name":"2022 IEEE International Memory Workshop (IMW)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"In-Memory 3D NAND Flash Hyperdimensional Computing Engine for Energy-Efficient SARS-CoV-2 Genome Sequencing\",\"authors\":\"Po-Kai Hsu, Shimeng Yu\",\"doi\":\"10.1109/IMW52921.2022.9779291\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Hyperdimensional computing (HDC) is a promising paradigm for large-scale genome sequencing. In this work, we explore the feasibility of the in-memory HDC on 3D NAND Flash for genome sequencing. We investigate the HDC engine with geographical region classification of SARS-CoV-2 genome sequences. The simulation results indicate the robustness of the classification accuracy despite the 3D NAND Flash non-idealities. The system performance is evaluated and it achieves 1.21× improvement on energy efficiency compared to PCM-based HDC engine. The area efficiency is also improved by 3.79×.\",\"PeriodicalId\":132074,\"journal\":{\"name\":\"2022 IEEE International Memory Workshop (IMW)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Memory Workshop (IMW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMW52921.2022.9779291\",\"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 International Memory Workshop (IMW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMW52921.2022.9779291","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In-Memory 3D NAND Flash Hyperdimensional Computing Engine for Energy-Efficient SARS-CoV-2 Genome Sequencing
Hyperdimensional computing (HDC) is a promising paradigm for large-scale genome sequencing. In this work, we explore the feasibility of the in-memory HDC on 3D NAND Flash for genome sequencing. We investigate the HDC engine with geographical region classification of SARS-CoV-2 genome sequences. The simulation results indicate the robustness of the classification accuracy despite the 3D NAND Flash non-idealities. The system performance is evaluated and it achieves 1.21× improvement on energy efficiency compared to PCM-based HDC engine. The area efficiency is also improved by 3.79×.
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