This paper updates the survey of AI accelerators and processors from past three years. This paper collects and summarizes the current commercial accelerators that have been publicly announced with peak performance and power consumption numbers. The performance and power values are plotted on a scatter graph, and a number of dimensions and observations from the trends on this plot are again discussed and analyzed. Two new trends plots based on accelerator release dates are included in this year's paper, along with the additional trends of some neuromorphic, photonic, and memristor-based inference accelerators.
Cite
@article{arxiv.2210.04055,
title = {AI and ML Accelerator Survey and Trends},
author = {Albert Reuther and Peter Michaleas and Michael Jones and Vijay Gadepally and Siddharth Samsi and Jeremy Kepner},
journal= {arXiv preprint arXiv:2210.04055},
year = {2022}
}
Comments
10 pages, 4 figures, 2022 IEEE High Performance Extreme Computing (HPEC) Conference. arXiv admin note: substantial text overlap with arXiv:2009.00993, arXiv:2109.08957