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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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/ |
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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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