LGJan 8, 2021
Benchmarking Machine Learning: How Fast Can Your Algorithms Go?
arXiv:2101.03219v112 citations
AI Analysis
This paper addresses the problem of improving the speed of machine learning algorithms for practitioners and researchers, but the abstract does not provide specific problems or results.
This paper evaluates various techniques for accelerating machine learning algorithms, such as vector caches and parallel execution. It reviews prior approaches and presents experimental results.
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.