Cache Register Sharing Structure for Channel-level Near-memory Processing in NAND Flash Memory

Hyunwoo Kim, Hyundong Lee, Jongbeom Kim, Yunjeong Go, Seungwon Baek, Jaehong Song, Junhyeon Kim, Minyoung Jung, Hyodong Kim, Seongju Kim, Taigon Song

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings of the 24th International Symposium on Quality Electronic Design, ISQED 2023
PublisherIEEE Computer Society
ISBN (Electronic)9798350334753
DOIs
StatePublished - 2023
Event24th International Symposium on Quality Electronic Design, ISQED 2023 - San Francisco, United States
Duration: 5 Apr 20237 Apr 2023

Publication series

NameProceedings - International Symposium on Quality Electronic Design, ISQED
Volume2023-April
ISSN (Print)1948-3287
ISSN (Electronic)1948-3295

Conference

Conference24th International Symposium on Quality Electronic Design, ISQED 2023
Country/TerritoryUnited States
CitySan Francisco
Period5/04/237/04/23

Keywords

  • deep neural network
  • NAND Flash memory
  • near-Memory processing

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