# Scalable and Efficient Intra- and Inter-node Interconnection Networks for Post-Exascale Supercomputers and Data centers

arXiv: https://arxiv.org/abs/2511.04677 · HTML: https://mlsanity.com/paper/2511.04677/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Nov 2025.

## Built on by (most cited first, 1 of 1)

- [A Tabular Schedule Abstraction for Communication-Aware Evaluation of Pipeline-Parallel LLM Training](https://mlsanity.com/paper/2605.24006/) (2026)

## Abstract (arXiv)

The rapid growth of data-intensive applications such as generative AI, scientific simulations, and large-scale analytics is driving modern supercomputers and data centers toward increasingly heterogeneous and tightly integrated architectures. These systems combine powerful CPUs and accelerators with emerging high-bandwidth memory and storage technologies to reduce data movement and improve computational efficiency. However, as the number of accelerators per node increases, communication bottlenecks emerge both within and between nodes, particularly when network resources are shared among heterogeneous components.