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ISSCC 2023Session 29 · DIGITAL ACCELERATORS AND CIRCUIT TECHNIQUESAI / ML7nm CMOS (N7) + 0.13µm Deep Trench Capacitor

Wafer-Level Stacking of High-Density Capacitors to Enhance the Performance of a Large Multicore Processor for Machine Learning Applications

⚡ 本页包含 AI 生成的分析内容,仅供参考

📋 论文概要

本文提出通过晶圆级堆叠高密度电容(约750µF)与大型多核处理器晶圆融合,显著降低电源电压下冲和过冲,从而提升处理器性能。该方案采用TSMC N7 CMOS和0.13µm Deep Trench Capacitor技术,实现了822mm²的Colossus Mk2x芯片。

💡 主要创新点

工艺节点
7nm CMOS (N7) + 0.13µm Deep Trench Capacitor
重要性
发表年份
ISSCC 2023

🏷 关键词

晶圆级堆叠高密度电容多核处理器电源完整性机器学习加速器

📄 原文摘要

Graphcore, Bristol, United Kingdom Graphcore, Adelaide, Australia 1 2 The 822mm2 Colossus Mk2x is a chip made by stacking and fusing two separately processed 12-inch wafers prior to probe-test, singulation and packaging. The two wafers are manufactured using TSMC’s N7 CMOS technology and TSMC’s 0.13µm Deep Trench Capacitor (DTC) technology, respectively. Each N7 die has over 60 billion transistors (typically 1 to 3 fins each), 82% of which constitute >8Gb of SRAM. The circa-750µF stacked capacitor die significantly reduces worst-case supply voltage undershoot and overshoot allowing headroom for the supply voltage to be elevated and a 40% increase in clock speed to achieve a peak performance of 700TFLOPS FP8 arithmetic (350TFLOPS FP16) that occurs when executing large, distributed matrix multiplications using all threads on all tile CPUs. For example, this scenario arises when executing the FFN (Feed

👥 作者与机构

Stephen Felix1, Shannon Morton2, Simon Stacey1, John Walsh1

分类:AI / ML · 年份:ISSCC 2023