面子(社会学概念)
薄脆饼
还原(数学)
材料科学
炸薯条
增强现实
计算机科学
嵌入式系统
芯片上的系统
能量(信号处理)
逻辑门
光电子学
计算机硬件
电子工程
工程类
人工智能
物理
电信
社会科学
几何学
数学
量子力学
社会学
作者
Tony F. Wu,Huichu Liu,H. Ekin Sumbul,Lita Yang,Dipti Baheti,Jeremy Coriell,William Koven,A. Aravinda Krishnan,Mohit Mittal,Matheus T. Moreira,Max Waugaman,Laurent Ye,Édith Beigné
出处
期刊:
日期:2024-02-18
卷期号:: 210-212
被引量:2
标识
DOI:10.1109/isscc49657.2024.10454529
摘要
Augmented reality (AR) products require energy-efficient systems-on-chip (SoCs) for machine learning (ML), neural networks (NNs), and image signal processing (ISP) applications [1]. These SoCs must be high-performance, yet low power with compact form factors. They are heavily constrained by the area footprint, while the third dimension is usually left with ample space. Moreover, frequent access to off-chip memories can be prohibitively expensive in terms of latency and energy for AR devices. Fortunately, recent advances in 3D integration allow integration of additional logic and memory into the SoC without area footprint cost. In particular, face-to-face (F2F) stacking with hybrid bonding (HB) allows for high bandwidth (BW) connections between dies without incurring substantial energy overhead. We demonstrate, for the first time in the AR domain, a 3D integrated SoC using face-to-face hybrid-bonding technology to show: (1) deployment of larger workloads not previously feasible on an iso-form factor baseline due to memory capacity limitations and strict execution time and energy requirements, and (2) system-level energy and execution time savings (up to 40% for each) for our prototype AR SoC within tight form factor constraints.
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