Tackling Network-on-Chip (NoC) Scaling Challenges with a System-technology Co-optimization Approach
By Moritz Brunion, Researcher Design-Technology Co-optimization, and James Myers, Program Director System Technology Co-optimization, imec
In the rapidly evolving field of cloud computing, maximizing computational resources within physical and power constraints has become paramount. Cloud providers, seek to optimize data center efficiency by designing powerful multi-core processors, often exceeding 100 CPU cores per chip, to serve numerous users concurrently. Such high-density designs allow for shared hardware resources, including network, memory, and storage, making every CPU a unit of rentable processing power.
However, the pursuit of scale and efficiency introduces a substantial bottleneck: while CPU and memory components continue to shrink with advances in semiconductor manufacturing, the network-on-chip (NoC)—responsible for routing data among CPUs and memory—remains stubbornly large due to scaling limitations in its long-range metal interconnects. As interconnects are scaled down, the resistance of the metal wires increases significantly, leading to higher power consumption and reduced performance when propagating long-range signals due to the need for additional signal repeaters. Additionally, the metal interconnects used for routing need to maintain a certain width and spacing to ensure reliable signal transmission and to avoid issues like crosstalk.
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Related Semiconductor IP
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