A Convenient Framework for Efficient Parallel Multipass Algorithms
Markus Weimer, Sriram Rao, Martin Zinkevich · 2010
The amount of data available is ever-increasing. At the same time, the available time to learn from the available data is decreasing in many applications, especially on the web. These two trends together with limited improvements in per-cpu speed and hard disk bandwidth lead to the need for parallel machine learning algorithms. Numerous have been proposed in the past (including [1, 3, 4]).