Defying Moore: Envisioning the Economics of a Semiconductor Revolution through 12nm Specialization.
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 sc...
| Published in: | Communications of the ACM Vol. 68; no. 7; pp. 108 - 120 |
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| Main Authors: | , |
| Format: | Article |
| Published: |
Association for Computing Machinery
Jul2025
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| Summary: | 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). |
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