Special Topic on Monolithic 3-D Integration for Energy-Efficient Computing

As the traditional 2-D scaling is approaching its physical limit, there is a great motivation to explore the third dimension for future integrated circuit design. The memory industry has already adopted monolithic 3-D integration (e.g., in 176-layer 3-D NAND Flash), while the 3-D vertical integratio...

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Main Author: Shimeng Yu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Online Access:https://ieeexplore.ieee.org/document/9552630/
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spelling doaj-2d569f86459048f6bca7d8e7594a5cf02021-09-30T23:01:54ZengIEEEIEEE Journal on Exploratory Solid-State Computational Devices and Circuits2329-92312021-01-0171iiiii10.1109/JXCDC.2021.31112369552630Special Topic on Monolithic 3-D Integration for Energy-Efficient ComputingShimeng Yu0https://orcid.org/0000-0002-0068-3652Georgia Institute of Technology, Atlanta, GA, USAAs the traditional 2-D scaling is approaching its physical limit, there is a great motivation to explore the third dimension for future integrated circuit design. The memory industry has already adopted monolithic 3-D integration (e.g., in 176-layer 3-D NAND Flash), while the 3-D vertical integration structure of logic transistors (e.g., 3-D stacked nanosheets, NMOS on top of PMOS) is emerging for sub-3-nm logic nodes. The other trend is to stack the embedded nonvolatile memories [e.g., resistive random access memory (RRAM), phase change memory (PCM), magnetic random access memory (MRAM), and ferroelectric field-effect-transistor (FeFET)] on top of CMOS using the back-end-of-line (BEOL) processing. Taking one step further, the integration of multiple tiers of active transistors with embedded memories is expected to offer significant improvements in the throughput and energy efficiency thanks to the massive connectivity between logic and memories. Besides the technological breakthroughs, circuit design automation methodologies have become key enablers to optimize the tier partitioning in monolithic 3-D architectures. In addition, heat dissipation should be taken care of by accurate thermal modeling in these monolithic 3-D architectures. New heat spreading materials and advanced embedded cooling techniques are also important.https://ieeexplore.ieee.org/document/9552630/
collection DOAJ
language English
format Article
sources DOAJ
author Shimeng Yu
spellingShingle Shimeng Yu
Special Topic on Monolithic 3-D Integration for Energy-Efficient Computing
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
author_facet Shimeng Yu
author_sort Shimeng Yu
title Special Topic on Monolithic 3-D Integration for Energy-Efficient Computing
title_short Special Topic on Monolithic 3-D Integration for Energy-Efficient Computing
title_full Special Topic on Monolithic 3-D Integration for Energy-Efficient Computing
title_fullStr Special Topic on Monolithic 3-D Integration for Energy-Efficient Computing
title_full_unstemmed Special Topic on Monolithic 3-D Integration for Energy-Efficient Computing
title_sort special topic on monolithic 3-d integration for energy-efficient computing
publisher IEEE
series IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
issn 2329-9231
publishDate 2021-01-01
description As the traditional 2-D scaling is approaching its physical limit, there is a great motivation to explore the third dimension for future integrated circuit design. The memory industry has already adopted monolithic 3-D integration (e.g., in 176-layer 3-D NAND Flash), while the 3-D vertical integration structure of logic transistors (e.g., 3-D stacked nanosheets, NMOS on top of PMOS) is emerging for sub-3-nm logic nodes. The other trend is to stack the embedded nonvolatile memories [e.g., resistive random access memory (RRAM), phase change memory (PCM), magnetic random access memory (MRAM), and ferroelectric field-effect-transistor (FeFET)] on top of CMOS using the back-end-of-line (BEOL) processing. Taking one step further, the integration of multiple tiers of active transistors with embedded memories is expected to offer significant improvements in the throughput and energy efficiency thanks to the massive connectivity between logic and memories. Besides the technological breakthroughs, circuit design automation methodologies have become key enablers to optimize the tier partitioning in monolithic 3-D architectures. In addition, heat dissipation should be taken care of by accurate thermal modeling in these monolithic 3-D architectures. New heat spreading materials and advanced embedded cooling techniques are also important.
url https://ieeexplore.ieee.org/document/9552630/
work_keys_str_mv AT shimengyu specialtopiconmonolithic3dintegrationforenergyefficientcomputing
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