Hyunwoo Kim, Hyundong Lee, Jongbeom Kim, Yunjeong Go, Seungwon Baek, Jae-Seok Song, Junhyeon Kim, Minyoung Jung, Hyodong Kim, Seong-Jae Kim, Taigon Song
{"title":"Cache Register Sharing Structure for Channel-level Near-memory Processing in NAND Flash Memory","authors":"Hyunwoo Kim, Hyundong Lee, Jongbeom Kim, Yunjeong Go, Seungwon Baek, Jae-Seok Song, Junhyeon Kim, Minyoung Jung, Hyodong Kim, Seong-Jae Kim, Taigon Song","doi":"10.1109/ISQED57927.2023.10129383","DOIUrl":null,"url":null,"abstract":"A vast number of data used for Artificial intelligence causes bottleneck between the processor and memory. To tackle this issue, a technology that embeds a processing unit in the memory (PIM: Processing-in Memory) has been proposed. However, SRAM/DRAM based PIM have a issue for lack of capacity. Thus, we propose a NAND flash PIM scheme that shares the cache register. Our scheme significantly reduces the read latency and operation time by -22.8% and -43.7%, compared to the conventional memory system. The power-performance-area (PPA) was reduced by 17.2% by shortening the number of cycles. Our NAND PIM specializes in tasks requiring high-performance computing.","PeriodicalId":315053,"journal":{"name":"2023 24th International Symposium on Quality Electronic Design (ISQED)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 24th International Symposium on Quality Electronic Design (ISQED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISQED57927.2023.10129383","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A vast number of data used for Artificial intelligence causes bottleneck between the processor and memory. To tackle this issue, a technology that embeds a processing unit in the memory (PIM: Processing-in Memory) has been proposed. However, SRAM/DRAM based PIM have a issue for lack of capacity. Thus, we propose a NAND flash PIM scheme that shares the cache register. Our scheme significantly reduces the read latency and operation time by -22.8% and -43.7%, compared to the conventional memory system. The power-performance-area (PPA) was reduced by 17.2% by shortening the number of cycles. Our NAND PIM specializes in tasks requiring high-performance computing.