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Collaborative Research: CMOS+X: A Device-to-Architecture Co-development and Demonstration of Large-scale Integration of FeFET on CMOS for Emerging Computing Applications

Collaborative Research: CMOS+X: A Device-to-Architecture Co-development and Demonstration of Large-scale Integration of FeFET on CMOS for Emerging Computing Applications
合作研究:CMOS X:用于新兴计算应用的 CMOS 上大规模集成 FeFET 的设备到架构联合开发和演示
批准号:
2318807
负责人:
Jie Gu
金额:
$38.5万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-09-01 至 2026-08-31

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中文摘要
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英文摘要
In the new era of AI, modern computing electronics are facing tremendous challenges when a large amount of computing tasks, e.g. robotics, Augmented Reality and Virtual Reality (AR/VR), autonomous driving, require supports of gigantic computing models and enormous computing workloads. Such demands have dwarfed the capabilities of existing electronic hardware. As Complementary Metal Oxide Semiconductor (CMOS) technology approaches 1 nm node, it is obvious that the conventional technology scaling will soon run out of steam to meet the ever-growing demand of computing power. To continue the Moore’s law, Hafnium Oxide (HfO2) based ferroelectric field effect transistor (FeFET) is one of the leading candidates with benefits of combined nonvolatility, high energy efficiency, and compatibility with CMOS. While many device-level developments have been performed on FeFET, one of the hindering factors is that the device’s development is often performed at small scale without high-level integration with CMOS technology, which is necessary to deliver a complete integrated-circuit (IC) solution for supporting the modern computing tasks. To overcome the limitation of existing developments, this proposal will develop cross-layer techniques from device to circuit and architecture enabling large-scale integration of the highly promising FeFET device with standard CMOS technology. This project will perform full-stack developments from device to architecture for the integration of CMOS and FeFET technology targeting emerging computing applications. Fabricated FeFET with CMOS at advanced technology nodes at a large scale will be used to demonstrate the proposed techniques. More specifically, we will perform the following developments. At device level, improved process for integration between nFeFET, pFeFET and CMOS will be developed allowing better technology fusion of the FeFET and CMOS devices; At design methodology, a joint device-circuit collaborative design flow will be developed to tailor the FeFET technology towards the need of emerging computing applications such as AI; Furthermore, novel circuit and architecture utilizing FeFET as both memory and computing devices will be developed to exploit the features of FeFET and its co-existence with CMOS technology; Finally, demonstrations on complex processors and accelerators for emerging applications, with joint CMOS and FeFET technology will be delivered to showcase the benefits of the emerging device integrated with CMOS. The integrative approach and demonstration of CMOS and FeFET fusion will manifest the system perspective of FeFET devices and establish a solid foundation for the future FeFET developments especially for the emerging computing tasks. By integrating the advanced semiconductor technology with emerging computing tasks, the proposed projects provide strong educational materials and opportunities for students to learn the multi-disciplinary developments of modern computing techniques and microelectronic devices. Both course materials and workshops on frontier semiconductor and computing techniques will be developed to provide solid training to the society while also promoting diversity and inclusion to college STEM education.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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SHF: Small: A Chip of Happiness: Device-to-System Developments of Affective Computing for Human-in-the-loop Computer System
  • 批准号:
    2208573
  • 项目类别:
    Standard Grant
  • 资助金额:
    $60.0万
  • 财政年份:
    2022
  • 负责人:
    Jie Gu
  • 依托单位:
SHF: Small: Development of Differentiable Memory Augmented Neural CPU Architecture for Cognitive Computing
  • 批准号:
    2008906
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2020
  • 负责人:
    Jie Gu
  • 依托单位:
CAREER: Design and Synthesis of Energy-efficient Time-domain Computing for Intelligent Edge Processing
  • 批准号:
    1846424
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $100.0万
  • 财政年份:
    2019
  • 负责人:
    Jie Gu
  • 依托单位:
CSR: Small: Development of Distributed Neural Processing Electronics for Whole-Body Computing and Biomedical Sensor Fusion
  • 批准号:
    1816870
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2018
  • 负责人:
    Jie Gu
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
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