Defying Moore: Envisioning the Economics of a Semiconductor Revolution through 12nm Specialization.

Saved in:

Bibliographic Details
Title:	Defying Moore: Envisioning the Economics of a Semiconductor Revolution through 12nm Specialization.
Authors:	Davies, Michael¹ (AUTHOR) mdavies@nvidia.com, Sankaralingam, Karthikeyan¹ (AUTHOR) karu@cs.wisc.edu
Source:	Communications of the ACM. Jul2025, Vol. 68 Issue 7, p108-119. 12p.
Subjects:	Semiconductor design, Semiconductor industry, Technological innovations, Computer architecture, Moore's law, Economics, Graphics processing units, Bandwidths, Sustainability
Abstract:	This article investigates whether new artificial intelligence (AI) chips can be built at 12nm technology and exceed or at least match chips made at 5nm or lower. The authors cite the four trends in the semiconductor industry including the perceived end of Moore’s law when investigating technology scaling and architectural innovation. This research presents tiled decoupled control and compute (TDCC) architecture with Galileo as an example and compares it to others with TDCC, including SIGMA, as well as Nvidia’s graphics processing unit (GPU).
Database:	Engineering Source

Description
Abstract:	This article investigates whether new artificial intelligence (AI) chips can be built at 12nm technology and exceed or at least match chips made at 5nm or lower. The authors cite the four trends in the semiconductor industry including the perceived end of Moore’s law when investigating technology scaling and architectural innovation. This research presents tiled decoupled control and compute (TDCC) architecture with Galileo as an example and compares it to others with TDCC, including SIGMA, as well as Nvidia’s graphics processing unit (GPU).
ISSN:	00010782
DOI:	10.1145/3711920