arXiv · 2101.03219
Benchmarking Machine Learning: How Fast Can Your Algorithms Go?
Abstract
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.
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Zeyu Ning, Hugues Nelson Iradukunda, Qingquan Zhang, Ting Zhu. 2021-01-08. Benchmarking Machine Learning: How Fast Can Your Algorithms Go?. https://arxiv.org/abs/2101.03219
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