Benchmarking Machine Learning: How Fast Can Your Algorithms Go?

8 Jan 2021  ·  Zeyu Ning, Hugues Nelson Iradukunda, Qingquan Zhang, Ting Zhu ·

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.

PDF Abstract

Datasets


  Add Datasets introduced or used in this paper

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods


No methods listed for this paper. Add relevant methods here