This paper is focused on evaluating the effect of some different techniques in machine learning speed-up, including vector caches, parallel execution, and so on. The following content will include some review of the previous approaches and our own experimental results.
@article{arxiv.2101.03219,
title = {Benchmarking Machine Learning: How Fast Can Your Algorithms Go?},
author = {Zeyu Ning and Hugues Nelson Iradukunda and Qingquan Zhang and Ting Zhu},
journal= {arXiv preprint arXiv:2101.03219},
year = {2021}
}