INTEGRATING QLC NAND TECHNOLOGY WITH SYSTEM ON CHIP DESIGNS

The rapid advancement of data storage technologies has necessitated innovative approaches to integrate new memory architectures with existing computational systems.This paper explores the integration of Quad-Level Cell (QLC) NAND flash technology within System-on-Chip (SoC) designs.QLC NAND, known for its high density and cost-effectiveness, presents unique challenges and opportunities due to its ability to store four bits of data per cell.By leveraging the advantages of QLC NAND, such as increased storage capacity and lower manufacturing costs, we can enhance SoC designs tailored for data-intensive applications like artificial intelligence, machine learning, and large-scale data analytics.This study examines the architectural modifications required to effectively integrate QLC NAND technology into SoC designs.It discusses the implications of QLC NAND's characteristics, such as endurance and write speed, on overall system performance.Furthermore, the research highlights innovative caching mechanisms and error correction techniques that can mitigate the limitations associated with QLC NAND while optimizing data throughput.The integration process also includes considerations for power efficiency and thermal management, crucial for maintaining system reliability.Through simulation and experimental results, we demonstrate the feasibility and advantages of this integration, providing a roadmap for future developments in memory technology and SoC architecture.The findings offer valuable insights for engineers and designers aiming to harness the benefits of QLC NAND within modern computational frameworks, paving the way for more efficient and scalable data storage solutions.

Publication Details

Journal
International Research Journal of Modernization in Engineering Technology and Science
Published
2025-05-07
DOI
https://doi.org/10.56726/irjmets4096
Citations
11
Primary Topic
Image Processing Techniques and Applications
Type
article
Field-Weighted Citation Impact
4.54
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article

INTEGRATING QLC NAND TECHNOLOGY WITH SYSTEM ON CHIP DESIGNS

11 citations
International Research Journal of Modernization in Engineering Technology and Science
Image Processing Techniques and Applications
4.54
article

INTEGRATING QLC NAND TECHNOLOGY WITH SYSTEM ON CHIP DESIGNS

article en
11 citations

Abstract

The rapid advancement of data storage technologies has necessitated innovative approaches to integrate new memory architectures with existing computational systems.This paper explores the integration of Quad-Level Cell (QLC) NAND flash technology within System-on-Chip (SoC) designs.QLC NAND, known for its high density and cost-effectiveness, presents unique challenges and opportunities due to its ability to store four bits of data per cell.By leveraging the advantages of QLC NAND, such as increased storage capacity and lower manufacturing costs, we can enhance SoC designs tailored for data-intensive applications like artificial intelligence, machine learning, and large-scale data analytics.This study examines the architectural modifications required to effectively integrate QLC NAND technology into SoC designs.It discusses the implications of QLC NAND's characteristics, such as endurance and write speed, on overall system performance.Furthermore, the research highlights innovative caching mechanisms and error correction techniques that can mitigate the limitations associated with QLC NAND while optimizing data throughput.The integration process also includes considerations for power efficiency and thermal management, crucial for maintaining system reliability.Through simulation and experimental results, we demonstrate the feasibility and advantages of this integration, providing a roadmap for future developments in memory technology and SoC architecture.The findings offer valuable insights for engineers and designers aiming to harness the benefits of QLC NAND within modern computational frameworks, paving the way for more efficient and scalable data storage solutions.

International Research Journal of Modernization in Engineering Technology and Science
Affordable and clean energy
Openalex Percentile: Top 5%
Image Processing Techniques and Applications
4.54
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INTEGRATING QLC NAND TECHNOLOGY WITH SYSTEM ON CHIP DESIGNS · International Research Journal of Modernization in Engineering Technology and Science (2025) | TGRS Research Map | TGRS