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ISSCC 2024Session 20 · MACHINE LEARNING ACCELERATORSAI / ML14nm

A 23.9TOPS/W @ 0.8V, 130TOPS AI Accelerator with 16× Performance-Accelerable Pruning in 14nm Heterogeneous Embedded MPU for Real-Time Robot Applications

⚡ 本页包含 AI 生成的分析内容,仅供参考

📋 论文概要

本文提出一种在14nm异构嵌入式MPU中的AI加速器,通过16倍性能可加速剪枝技术,实现了23.9TOPS/W能效和130TOPS峰值性能,满足人机协作机器人对实时环境识别的高性能、低功耗需求。

💡 主要创新点

核心指标
23.9TOPS/W @ 0.8V, 130TOPS
工艺节点
14nm
重要性
发表年份
ISSCC 2024

🏷 关键词

AI加速器剪枝能效嵌入式MPU人机协作机器人

📄 原文摘要

expectations for the advancement of human-cooperative robots. In such robots, advanced environmental recognition (mainly AI based), planning and control (normally non-AI algorithms) have to be processed simultaneously in real time. However, with current AI chips, meeting these objectives is challenging for several reasons: 1) A high-performance AI accelerator with 100TOPS peak class is required, in particular when a multi-camera system is employed for wide-range environment recognition. However, such an accelerator cannot be incorporated in a robot device because its power exceeds 10W [1] and a huge fan is required. 2) Embedded CPUs do not have sufficient performance for processing multiple robot tasks that mix AI and non-AI tasks in real-time. To solve these issues, we propose

👥 作者与机构

Koichi Nose, Taro Fujii, Katsumi Togawa, Shunsuke Okumura, Kentaro Mikami,

Daichi Hayashi, Teruhito Tanaka, Takao Toi Renesas Electronics, Tokyo, Japan To solve social problems such as labor shortages, there are growing

分类:AI / ML · 年份:ISSCC 2024