# The Ultimate DataFlow for Ultimate SuperComputers-on-a-Chip, for Scientific Computing, Geo Physics, Complex Mathematics, and Information Processing

arXiv: https://arxiv.org/abs/2009.10593 · HTML: https://mlsanity.com/paper/2009.10593/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 20 Sep 2020.

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

- [A Survey of Selected Algorithms Used in Military Applications from the Viewpoints of Dataflow and GaAs](https://mlsanity.com/paper/2110.01389/) (2021)

## Abstract (arXiv)

This article starts from the assumption that near future 100BTransistor SuperComputers-on-a-Chip will include N big multi-core processors, 1000N small many-core processors, a TPU-like fixed-structure systolic array accelerator for the most frequently used Machine Learning algorithms needed in bandwidth-bound applications and a flexible-structure reprogrammable accelerator for less frequently used Machine Learning algorithms needed in latency-critical applications.